public function show($username)
{
$user = MecanexUser::where('username', $username)->get()->first();
if (empty($user)) {
$response = ["error" => "User doesn`t exist"];
$statusCode = 404;
} else {
$terms = $user->profilescore;
foreach ($terms as $term) {
$user_profile = [];
$temp[$term['term']] = $term['pivot']['profile_score'];
array_push($user_profile, $temp);
}
$response = $user_profile;
$statusCode = 200;
}
return response($response, $statusCode)->header('Content-Type', 'application/json');
}
public function recommend($username)
{
//this assumes that the input is of type videos=EUS_025A722EA4B240D8B6F6330A8783143C,EUS_00A5E7F2D522422BB3BF3BF611CAB22F
//however according to the input decided proper adjustments have to be made bearing in mind that where in expects string, e.g. 'a',b'
$user = MecanexUser::where('username', $username)->get()->first();
if (empty($user)) {
$response = ["error" => "User doesn`t exist"];
$statusCode = 404;
} else {
$user_id = $user->id;
//parameter for the experiment
$neighs = '2';
$list_neighs = [];
//content_based recommendation -- using the view
$results_content = DB::select(DB::raw('select video_id, title, similarity FROM user_item_similarity where user=? GROUP BY video_id, title ORDER BY similarity DESC LIMIT 10'), [$user_id]);
//collaborative recommendation
// //multiplies vector of user i with every one of its neighbors and sorts them in descending order
$results_neighs = DB::select(DB::raw('select neighbor FROM user_neighbor_similarity where user=? ORDER BY similarity DESC LIMIT ?'), [$user_id, $neighs]);
foreach ($results_neighs as $neigh) {
array_push($list_neighs, $neigh->neighbor);
}
if (empty($list_neighs)) {
//content recommendation if no neighbors
$results_recommendation = $results_content;
} else {
$string_neighs = implode(',', $list_neighs);
$results_recommendation = DB::select(DB::raw(' SELECT a.user,a.video_id,user_item_similarity.title, user_item_similarity.euscreen_id, (0.8*user_item_similarity.similarity+0.2*a.score) as result from (SELECT user_neighbor_similarity.user,user_item_similarity.video_id, SUM(user_neighbor_similarity.similarity+user_item_similarity.similarity) as score FROM user_neighbor_similarity INNER JOIN user_item_similarity on user_neighbor_similarity.neighbor=user_item_similarity.user and user_item_similarity.user IN(' . $string_neighs . ') GROUP BY user_neighbor_similarity.user,user_item_similarity.video_id) as a INNER JOIN user_item_similarity on a.video_id = user_item_similarity.video_id and a.user=user_item_similarity.user where a.user=? ORDER BY score DESC LIMIT 10'), [$user_id]);
}
$final_results = [];
foreach ($results_recommendation as $result) {
array_push($final_results, $result->euscreen_id);
}
$response = ["Video Ids" => $final_results];
$statusCode = 200;
}
return response($response, $statusCode)->header('Content-Type', 'application/json');
}
private function recommend_enr($list, $user_id)
{
$terms = Term::all();
$user = MecanexUser::where('id', $user_id)->get()->first();
$user_terms_scores = $user->profilescore;
foreach ($user_terms_scores as $user_term_score) {
$temp_profile_scores[] = $user_term_score->pivot->profile_score;
}
foreach ($list as $enrichment) {
$arithmitis = 0;
$sumA = 0;
$sumB = 0;
$temp_enrichment_scores = [];
$enrichment_terms_scores = DB::select(DB::raw('SELECT * FROM enrichments_terms_scores WHERE enrichment_id=? ORDER BY term_id'), [$enrichment["enrichment_id"]]);
foreach ($enrichment_terms_scores as $enrichment_term_score) {
$temp_enrichment_scores[] = $enrichment_term_score->enrichment_score;
}
for ($i = 0; $i < count($terms); $i++) {
$arithmitis = $arithmitis + $temp_enrichment_scores[$i] * $temp_profile_scores[$i];
$sumA = $sumA + pow($temp_enrichment_scores[$i], 2);
$sumB = $sumB + pow($temp_profile_scores[$i], 2);
}
$enrichment["score"] = $arithmitis / (sqrt($sumA) + sqrt($sumB));
$enrichmentScores[$enrichment["enrichment_id"]] = $arithmitis / (sqrt($sumA) + sqrt($sumB));
}
arsort($enrichmentScores);
return $enrichmentScores;
// // first key of enrichmentScores list - the most recommended enrichment
// $recommended_enrichment = key($enrichmentScores);
//
// return Enrichment::find($recommended_enrichment)->enrichment_id;
}
/**
* Update the specified resource in storage.
*
* @param int $id
* @return Response
*/
public function update(InterestRequest $request, $username)
{
$interests = $request->except('_method');
$user = MecanexUser::where('username', $username)->get()->first();
if (empty($user)) {
$response = ["error" => "User doesn`t exist"];
$statusCode = 404;
} elseif (count($user->interest) == 0) {
$response = ["message" => "User has not set any interests, To create interests, try store"];
$statusCode = 404;
} else {
//check if what sends is correct or else it crushes
//updates interests and user scores
$key_values = array();
foreach ($interests as $key => $value) {
$interest = Interest::where('short_name', $key)->get(array('id'))->first();
$key_values[$interest->id] = $value;
$user->interest()->sync([$interest->id => ['interest_score' => $value]], false);
$term = Term::where('term', $key)->firstOrFail();
$value = $value / 5;
$user->term()->sync([$term->id => ['user_score' => $value]], false);
}
//there must be a more clever way to do this (foreach maybe)
//created 2 arrays one with the term ids ($term_ids) and the other with the scores ($term_scores)
$terms = Term::get(array('id'));
$all_terms = [];
foreach ($terms as $term) {
array_push($all_terms, $term->id);
}
$all_terms_length = count($all_terms);
ksort($key_values);
$term_ids = array_keys($key_values);
$term_ids_length = count($term_ids);
//update adjacency matrix
for ($i = 0; $i <= $term_ids_length - 1; $i++) {
for ($j = 0; $j <= $all_terms_length - 1; $j++) {
if ($term_ids[$i] == $all_terms[$j]) {
continue;
} elseif ($term_ids[$i] > $all_terms[$j]) {
$temp_user_matrix = MecanexUserTermHomeTermNeighbour::where('mecanex_user_id', $user->id)->where('term_home_id', $all_terms[$j])->where('term_neighbor_id', $term_ids[$i])->get()->first();
$temp_user = $user->term->find($all_terms[$j]);
$user_term_score_a = $temp_user->pivot->user_score;
$temp_user = $user->term->find($term_ids[$i]);
$user_term_score_b = $temp_user->pivot->user_score;
$new_score = $user_term_score_b * $user_term_score_a;
// }
} else {
$temp_user_matrix = MecanexUserTermHomeTermNeighbour::where('mecanex_user_id', $user->id)->where('term_home_id', $term_ids[$i])->where('term_neighbor_id', $all_terms[$j])->get()->first();
$temp_user = $user->term->find($all_terms[$j]);
$user_term_score_a = $temp_user->pivot->user_score;
$temp_user = $user->term->find($term_ids[$i]);
$user_term_score_b = $temp_user->pivot->user_score;
$new_score = $user_term_score_b * $user_term_score_a;
}
$temp_user_matrix->link_score = $new_score;
$temp_user_matrix->save();
}
}
//update profile
for ($j = 1; $j <= $all_terms_length; $j++) {
$profile_score = 0;
for ($i = 1; $i <= $all_terms_length; $i++) {
$temp_user = $user->term->find($i);
$user_term_score = $temp_user->pivot->user_score;
//get score of user
if ($i == $j) {
$link_score = 0;
} elseif ($i > $j) {
$temp_user_matrix = MecanexUserTermHomeTermNeighbour::where('mecanex_user_id', $user->id)->where('term_home_id', $j)->where('term_neighbor_id', $i)->get()->first();
$link_score = $temp_user_matrix->link_score;
} else {
$temp_user_matrix = MecanexUserTermHomeTermNeighbour::where('mecanex_user_id', $user->id)->where('term_home_id', $i)->where('term_neighbor_id', $j)->get()->first();
$link_score = $temp_user_matrix->link_score;
}
$profile_score = $profile_score + $user_term_score * $link_score;
}
$user->profilescore()->sync([$j => ['profile_score' => $profile_score]], false);
}
$response = ["message" => "User Interests were saved"];
$statusCode = 201;
}
return response($response, $statusCode)->header('Content-Type', 'application/json');
}
public function destroy($username)
{
//
$mecanexuser = MecanexUser::where('username', $username)->get()->first();
if (empty($mecanexuser)) {
$response = ["error" => "User doesn`t exist"];
$statusCode = 404;
} else {
//
$mecanexuser->delete();
$statusCode = 200;
$response = ["message" => "User deleted"];
}
return response($response, $statusCode)->header('Content-Type', 'application/json');
}
/**
* Display a listing of the resource.
*
* @return Response
*/
public function login(Request $request, SammyK\LaravelFacebookSdk\LaravelFacebookSdk $fb)
{
//test if token for FB login is enough
$token = $request->token;
// return $token;
// does not work since $token is string but should be token
// if (! $token->isLongLived()) {
// // OAuth 2.0 client handler
// $oauth_client = $fb->getOAuth2Client();
//
// // Extend the access token.
// try {
// $token = $oauth_client->getLongLivedAccessToken($token);
// } catch (Facebook\Exceptions\FacebookSDKException $e) {
// dd($e->getMessage());
// }
// }
//this is for not include $token in the get calls
$fb->setDefaultAccessToken($token);
// Get basic info on the user from Facebook.
try {
$response = $fb->get('/me?fields=id,email');
} catch (Facebook\Exceptions\FacebookSDKException $e) {
dd($e->getMessage());
}
try {
$profileresponse = $fb->get('/me?fields=id,name,gender');
} catch (Facebook\Exceptions\FacebookSDKException $e) {
dd($e->getMessage());
}
// Convert the response to a `Facebook/GraphNodes/GraphUser` collection
$facebook_user = $response->getGraphUser();
$mecanex_user = $profileresponse->getGraphUser();
// Create the user if it does not exist or update the existing entry.
// This will only work if you've added the SyncableGraphNodeTrait to your User model.
$user = User::createOrUpdateGraphNode($facebook_user);
//store profile data in mecanex_users table
$id = $user->id;
$facebook_id = $user->facebook_user_id;
$fullname = $mecanex_user->getName();
$fullname = explode(" ", $fullname);
$name = $fullname[0];
$surname = $fullname[1];
$gender = $mecanex_user->getGender();
if ($gender == 'female') {
$gender_id = 2;
} else {
$gender_id = 1;
}
$fbuser = MecanexUser::firstOrNew(array('facebook_user_id' => $facebook_id));
$fbuser->user_id = $id;
$fbuser->facebook_user_id = $facebook_id;
$fbuser->gender_id = $gender_id;
$fbuser->name = $name;
$fbuser->surname = $surname;
$fbuser->save();
// Log the user into Laravel
Auth::login($user);
// create records in table users_terms-scores once a mecanex user has been created
$terms = Term::all();
foreach ($terms as $term) {
$fbuser->term()->sync([$term->id => ['user_score' => 0]], false);
}
$response = 'User was saved';
$statusCode = 201;
return response($response, $statusCode)->header('Content-Type', 'application/json');
}
/**
* Display a listing of the resource.
*
* @return Response
*/
public function target(Request $request)
{
try {
$mecanexusers = MecanexUser::all();
// filter by demographics
if ($request->gender_id != 0) {
$mecanexusers = $mecanexusers->where("gender_id", (int) $request->gender_id);
}
if ($request->age_id != 0) {
$mecanexusers = $mecanexusers->where("age_id", (int) $request->age_id);
}
if ($request->education_id != 0) {
$mecanexusers = $mecanexusers->where("education_id", (int) $request->education_id);
}
if ($request->occupation_id != 0) {
$mecanexusers = $mecanexusers->where("occupation_id", (int) $request->occupation_id);
}
if ($request->country_id != 0) {
$mecanexusers = $mecanexusers->where("country_id", (int) $request->country_id);
}
// filter by preference on terms
// keep mecanex users whose term profile score is more than 0.7 when normalized by the max term value of the user
$statusCode = 200;
if ($request->terms != []) {
$all_terms = Term::all();
foreach ($all_terms as $term) {
if (strpos($request->terms, $term->term) !== false) {
$mecanexusers = $mecanexusers->filter(function ($user) use($term) {
$myquery = DB::select(DB::raw(' SELECT MAX(profile_score) as mymax
FROM users_terms_profilescores
WHERE mecanex_user_id=' . $user->id . ''));
if ($myquery[0]->mymax == 0) {
// don't take into account users that have not provided any information
return false;
}
return $user->profilescore[$term->id - 1]['pivot']['profile_score'] / $myquery[0]->mymax > 0.7;
// minus one because terms start from 0 where id starts from 1
});
// $response[] = $mecanexusers[1]->profilescore[$term->id-1]['pivot']['profile_score'];
// $myquery = DB::select(DB::raw(' SELECT MAX(profile_score) as mymax
// FROM users_terms_profilescores
// WHERE mecanex_user_id='. $mecanexusers[2]->id .''));
}
}
}
$array_of_users = array();
// If no mecanexusers exist from the filters selected, we return a random list of videos
if ($mecanexusers->isEmpty()) {
$response = [];
$response['message'][] = "No information for the target group";
$statusCode = 200;
return $response;
}
foreach ($mecanexusers as $mecanexuser) {
$array = array();
$terms = $mecanexuser->profilescore;
foreach ($terms as $term) {
$temp = (double) $term['pivot']['profile_score'];
array_push($array, $temp);
}
// normalize with maximum because that way the clustering seems more accurate
$maximum = max($array);
if ($maximum != 0) {
for ($i = 0; $i < count($array); $i++) {
$array[$i] = $array[$i] / $maximum;
}
}
array_push($array_of_users, $array);
}
/** return the array of users so that we can see whether the profiles have normalized
* values so that they can be clustered properly
*/
$space = new Space(14);
$num_of_clusters = 5;
foreach ($array_of_users as $point) {
$space->addPoint($point);
}
$clusters = $space->solve($num_of_clusters);
$all_users = [];
// foreach ($clusters as $i => $cluster)
// printf("Cluster %d [%d,%d]: %d points\n", $i, $cluster[0], $cluster[1], count($cluster));
foreach ($clusters as $i => $cluster) {
$terms = [];
for ($j = 0; $j < 14; $j++) {
array_push($terms, $cluster[$j]);
}
$all_users[] = ['cluster_id' => $i, 'cluster_terms' => $terms, 'num_of_users' => count($cluster)];
}
$statusCode = 200;
$response = $all_users;
return $response;
} catch (Exception $e) {
$statusCode = 400;
} finally {
return Response::json($response, $statusCode);
}
}
public function explicitrf_function(SignalsRequest $request)
{
$username = $request->username;
$device = $request->device_id;
$video_id = $request->video_id;
$action_type = $request->action;
$explicit_rf = $request->value;
//check if $request->score==-1 or 0 or 1
$record_exists = UserAction::where('username', $username)->where('video_id', $video_id)->where('action', $action_type)->first();
if (empty($record_exists)) {
$user_action = new UserAction(['username' => $username, 'device_id' => $device, 'video_id' => $video_id, 'explicit_rf' => $explicit_rf, 'action' => $action_type]);
$user_action->save();
$get_importance = Action::where('id', $request->action)->first();
$importance = $get_importance->importance;
$user_action->update(array('weight' => $explicit_rf, 'importance' => $importance));
} else {
$record_exists->update(array('explicit_rf' => $explicit_rf, 'weight' => $explicit_rf));
}
//store in the dcgs table - only used for the online experiments
$mecanex_user = MecanexUser::where('username', $username)->first();
$dcg_record = Dcg::where('mecanex_user_id', $mecanex_user->id)->where('video_id', $video_id);
$dcg_record->update(array('explicit_rf' => $explicit_rf));
//////////////calculate ku///////////////////////
// number of all enrichments
$video = Video::where('video_id', $video_id)->first();
$num_all_enrichments = DB::select(DB::raw('SELECT COUNT(*) as num FROM enrichments_videos_time WHERE video_id=?'), [$video->id]);
$num_all_enrichments = $num_all_enrichments[0]->num;
// create list with clicked enrichments
$get_action_id = Action::where('action', 'click enrichment')->first();
$action_id = $get_action_id->id;
$enrichment_click_ids = UserAction::where('username', $username)->where('video_id', $video_id)->where('action', $action_id)->get(array('content_id'));
$num_clicked_enrichments = count($enrichment_click_ids);
// replace all database entries with one with the appropriate weight (so that the calculation can be easily done).
// The information for what enrichments where clicked is now in the $enrichment_click_ids variable
if ($num_clicked_enrichments != 0) {
DB::table('user_actions')->where('username', $username)->where('video_id', $video_id)->where('action', $action_id)->delete();
$user_action = new UserAction(['username' => $username, 'device_id' => $device, 'video_id' => $video_id, 'action' => $action_id, 'content_id' => '1']);
$user_action->save();
$get_importance = Action::where('id', $action_id)->first();
$importance = $get_importance->importance;
$user_action->update(array('weight' => $num_clicked_enrichments / $num_all_enrichments, 'importance' => $importance));
}
// create list with shared enrichments
$get_action_id = Action::where('action', 'share')->first();
$action_id = $get_action_id->id;
$enrichment_share_ids = UserAction::where('username', $username)->where('video_id', $video_id)->where('action', $action_id)->get(array('content_id'));
$num_shared_enrichments = count($enrichment_share_ids);
// replace all database entries with one with the appropriate weight (so that the calculation can be easily done).
// The information for what enrichments where clicked is now in the $enrichment_shared_ids variable
if ($num_shared_enrichments != 0) {
DB::table('user_actions')->where('username', $username)->where('video_id', $video_id)->where('action', $action_id)->delete();
$user_action = new UserAction(['username' => $username, 'device_id' => $device, 'video_id' => $video_id, 'action' => $action_id, 'content_id' => '1']);
$user_action->save();
$get_importance = Action::where('id', $action_id)->first();
$importance = $get_importance->importance;
$user_action->update(array('weight' => $num_shared_enrichments / $num_all_enrichments, 'importance' => $importance));
}
$k_nominator = UserAction::where('username', $username)->where('video_id', $video_id)->groupBy('username')->get(['username', DB::raw('SUM(importance*weight) as total_score')])->first();
$query = "SELECT SUM(t1.importance ) AS total FROM (SELECT DISTINCT action, importance FROM user_actions WHERE username=:username AND video_id=:videoid) AS t1 ";
$k_denominator = DB::select(DB::raw($query), array('username' => $username, 'videoid' => $video_id));
//returns array
$k = $k_nominator->total_score / $k_denominator[0]->total;
//to [0] gia na prospelasei to 1o stoixeio tou array pou einai to object
/////////////////////////////update weights and update profile//////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/////////////Retrieve Terms/////////////////////////////
//////////////retrieve terms for given video//////////////
$video = Video::where('video_id', $request->video_id)->first();
$threshold = 0;
//need to appropriate set
$results = $video->term()->where('video_score', '>', $threshold)->get(array('term_id'));
$video_term_list = [];
foreach ($results as $result) {
//retrieve the terms that will be updated
array_push($video_term_list, $result->term_id);
}
sort($video_term_list);
///////////retrieve terms for the clicked enrichments//////////////
// $get_actionid = Action::where('action', 'click enrichment')->first();
// $action_id = $get_actionid->id;
// $enrichment_ids = UserAction::where('username', $username)->where('video_id', $video_id)->where('action', $action_id)->get(array('content_id'));
$enrichment_term_list = [];
// foreach ($enrichment_ids as $enrichment_id)
// {
//
// //call the api and get some terms
// //or emulate enrichment_terms
// //$results=Enrichment::where('id',$enrichment_id)->get(array('term_id'))
// foreach($results as $result)
// {
// array_push($enrichment_term_list,$result->term_id);
// }
//
// }
//$enrichment_terms=array_unique($enrichment_term_list);
$enrichment_terms = [3, 4, 7];
//retrieve terms for the clicked ads
$ads_terms = [4, 8, 10];
///Final term_list - no need since I will update in three steps
// $term_list=array_merge($video_term_list,$enrichment_terms,$ads_terms);
// $terms=array_unique($term_list);
////////////////update weights of profile//////////////////////////
$term_scores = [];
//save all scores to get the max
$user = MecanexUser::where('username', $username)->get()->first();
$video = Video::where('video_id', $video_id)->get()->first();
$link_user = MecanexUserTermHomeTermNeighbour::where('mecanex_user_id', $user->id)->get()->first();
//return $video;
//return $link_user;
//update based on video_terms
//return $video_term_list;
foreach ($video_term_list as $video_term_id) {
$temp_user = $user->term->find($video_term_id);
$user_term_score = $temp_user->pivot->user_score;
//get score of user
$temp_video = $video->term->find($video_term_id);
$video_term_score = $temp_video->pivot->video_score;
//get score of video
$final_score = $k * (0.8 * $video_term_score);
foreach ($enrichment_click_ids as $enrichment_click_id) {
$id = $enrichment_click_id->content_id;
$enrichment = Enrichment::where('enrichment_id', $id)->get()->first();
$temp_enrichment = $enrichment->term->find($video_term_id);
$enrichment_term_score = $temp_enrichment->pivot->enrichment_score;
$final_score = $final_score + $k * (0.1 / $num_clicked_enrichments * $enrichment_term_score);
}
foreach ($enrichment_share_ids as $enrichment_share_id) {
$id = $enrichment_share_id->content_id;
$enrichment = Enrichment::where('enrichment_id', $id)->get()->first();
$temp_enrichment = $enrichment->term->find($video_term_id);
$enrichment_term_score = $temp_enrichment->pivot->enrichment_score;
$final_score = $final_score + $k * (0.1 / $num_shared_enrichments * $enrichment_term_score);
}
//update score
$new_score = $user_term_score + $final_score;
//ok
$new_score = max($new_score, 0);
// don't let negative values
array_push($term_scores, $new_score);
// //store score
$user->term()->sync([$video_term_id => ['user_score' => $new_score]], false);
}
//return $term_scores;
// update matrix
$number_video_terms = count($video_term_list);
$link_term_scores = [];
//save all scores to get the max
for ($i = 0; $i <= $number_video_terms - 1; $i++) {
for ($j = $i + 1; $j < $number_video_terms; $j++) {
$temp_user_matrix = MecanexUserTermHomeTermNeighbour::where('mecanex_user_id', $user->id)->where('term_home_id', $video_term_list[$i])->where('term_neighbor_id', $video_term_list[$j])->get()->first();
//return $temp_user_matrix;
$temp_video = $video->term->find($video_term_list[$i]);
$video_term_score1 = $temp_video->pivot->video_score;
$temp_video = $video->term->find($video_term_list[$j]);
$video_term_score2 = $temp_video->pivot->video_score;
$final_score = $k * (0.8 * $video_term_score1 * $video_term_score2);
foreach ($enrichment_click_ids as $enrichment_click_id) {
$id = $enrichment_click_id->content_id;
$enrichment = Enrichment::where('enrichment_id', $id)->get()->first();
$temp_enrichment = $enrichment->term->find($video_term_list[$i]);
$enrichment_term_score1 = $temp_enrichment->pivot->enrichment_score;
$temp_enrichment = $enrichment->term->find($video_term_list[$j]);
$enrichment_term_score2 = $temp_enrichment->pivot->enrichment_score;
$final_score = $final_score + $k * (0.1 / $num_clicked_enrichments * $enrichment_term_score1 * $enrichment_term_score2);
}
foreach ($enrichment_share_ids as $enrichment_share_id) {
$id = $enrichment_share_id->content_id;
$enrichment = Enrichment::where('enrichment_id', $id)->get()->first();
$temp_enrichment = $enrichment->term->find($video_term_list[$i]);
$enrichment_term_score1 = $temp_enrichment->pivot->enrichment_score;
$temp_enrichment = $enrichment->term->find($video_term_list[$j]);
$enrichment_term_score2 = $temp_enrichment->pivot->enrichment_score;
$final_score = $final_score + $k * (0.1 / $num_shared_enrichments * $enrichment_term_score1 * $enrichment_term_score2);
}
$new_score = $temp_user_matrix->link_score + $final_score;
$new_score = max($new_score, 0);
// don't let negative values
array_push($link_term_scores, $new_score);
$temp_user_matrix->link_score = $new_score;
$temp_user_matrix->save();
}
}
//same should be done for enrichments and ads
//find max value and divide term values
$max_term_value = max(max($term_scores), 1);
if ($link_term_scores != []) {
$max_link_term_value = max(max($link_term_scores), 1);
}
foreach ($video_term_list as $video_term_id) {
$temp_user = $user->term->find($video_term_id);
$user_term_score = $temp_user->pivot->user_score;
//get score of user
$temp_video = $video->term->find($video_term_id);
$video_term_score = $temp_video->pivot->video_score;
//get score of video
//update score
$new_score = $user_term_score / $max_term_value;
//ok
//store score
$user->term()->sync([$video_term_id => ['user_score' => $new_score]], false);
}
for ($i = 0; $i <= $number_video_terms - 1; $i++) {
for ($j = $i + 1; $j < $number_video_terms; $j++) {
$temp_user_matrix = MecanexUserTermHomeTermNeighbour::where('mecanex_user_id', $user->id)->where('term_home_id', $video_term_list[$i])->where('term_neighbor_id', $video_term_list[$j])->get()->first();
$old_score = $temp_user_matrix->link_score;
$new_score = $old_score / $max_link_term_value;
$temp_user_matrix->link_score = $new_score;
$temp_user_matrix->save();
}
}
//calculate profile
$terms = Term::all()->count();
for ($j = 1; $j <= $terms; $j++) {
$profile_score = 0;
for ($i = 1; $i <= $terms; $i++) {
$temp_user = $user->term->find($i);
$user_term_score = $temp_user->pivot->user_score;
//get score of user
if ($i == $j) {
$link_score = 0;
} elseif ($i > $j) {
$temp_user_matrix = MecanexUserTermHomeTermNeighbour::where('mecanex_user_id', $user->id)->where('term_home_id', $j)->where('term_neighbor_id', $i)->get()->first();
$link_score = $temp_user_matrix->link_score;
} else {
$temp_user_matrix = MecanexUserTermHomeTermNeighbour::where('mecanex_user_id', $user->id)->where('term_home_id', $i)->where('term_neighbor_id', $j)->get()->first();
$link_score = $temp_user_matrix->link_score;
}
$profile_score = $profile_score + $user_term_score * $link_score;
}
$user->profilescore()->sync([$j => ['profile_score' => $profile_score]], false);
}
DB::table('user_actions')->where('username', $username)->where('video_id', $video_id)->delete();
$response = ["message" => 'RF Saved'];
$statusCode = 200;
return response($response, $statusCode)->header('Content-Type', 'application/json');
}
/**
* Display a listing of the resource.
*
* @return Response
*/
public function login(Request $request, SammyK\LaravelFacebookSdk\LaravelFacebookSdk $fb)
{
//test if token for FB login is enough
$token = $request->token;
// return $token;
// does not work since $token is string but should be token
// if (! $token->isLongLived()) {
// // OAuth 2.0 client handler
// $oauth_client = $fb->getOAuth2Client();
//
// // Extend the access token.
// try {
// $token = $oauth_client->getLongLivedAccessToken($token);
// } catch (Facebook\Exceptions\FacebookSDKException $e) {
// dd($e->getMessage());
// }
// }
//this is for not include $token in the get calls
$fb->setDefaultAccessToken($token);
// Get basic info on the user from Facebook.
try {
$response = $fb->get('/me?fields=id,email');
} catch (Facebook\Exceptions\FacebookSDKException $e) {
dd($e->getMessage());
}
try {
$profileresponse = $fb->get('/me?fields=id,name,gender');
} catch (Facebook\Exceptions\FacebookSDKException $e) {
dd($e->getMessage());
}
// Convert the response to a `Facebook/GraphNodes/GraphUser` collection
$facebook_user = $response->getGraphUser();
$mecanex_user = $profileresponse->getGraphUser();
$existing_mecanex_user = MecanexUser::where('email', '=', $facebook_user["email"])->get()->first();
$existing_user = User::where('email', '=', $facebook_user["email"])->get()->first();
// Create the user if it does not exist or update the existing entry.
// This will only work if you've added the SyncableGraphNodeTrait to your User model.
if ($existing_user == null) {
$facebook_user["username"] = "******" . $facebook_user["id"];
$user = User::createOrUpdateGraphNode($facebook_user);
} else {
$facebook_user["username"] = $existing_user->username;
$user = $existing_user;
$user->facebook_user_id = $facebook_user["id"];
$user->save();
}
//store profile data in mecanex_users table
$id = $user->id;
$facebook_id = $user->facebook_user_id;
if ($existing_mecanex_user == null) {
$username = "******" . $user->facebook_user_id;
} else {
$username = $existing_mecanex_user->username;
}
$email = $user->email;
$fullname = $mecanex_user->getName();
$fullname = explode(" ", $fullname);
$name = $fullname[0];
$surname = $fullname[1];
$gender = $mecanex_user->getGender();
if ($gender == 'female') {
$gender_id = 2;
} else {
$gender_id = 1;
}
$fbuser = MecanexUser::firstOrNew(array('email' => $email));
$fbuser->username = $username;
$fbuser->user_id = $id;
$fbuser->facebook_user_id = $facebook_id;
$fbuser->gender_id = $gender_id;
$fbuser->name = $name;
$fbuser->surname = $surname;
$fbuser->email = $email;
$fbuser->save();
// Log the user into Laravel
Auth::login($user);
// create records in table users_terms-scores once a mecanex user has been created
if ($existing_mecanex_user == null) {
$terms = Term::all();
$total_terms = count($terms);
foreach ($terms as $term) {
$fbuser->term()->sync([$term->id => ['user_score' => 0]], false);
$fbuser->profilescore()->sync([$term->id => ['profile_score' => 0]], false);
}
for ($i = 1; $i <= $total_terms; $i++) {
for ($j = $i + 1; $j <= $total_terms; $j++) {
$mec_matrix = new MecanexUserTermHomeTermNeighbour();
$mec_matrix->mecanex_user_id = $fbuser->id;
$mec_matrix->term_home_id = $i;
$mec_matrix->term_neighbor_id = $j;
$mec_matrix->link_score = 0.05;
$mec_matrix->save();
}
}
}
$response = ['username' => $username, 'message' => 'User was successfully logged in'];
$statusCode = 201;
return response($response, $statusCode)->header('Content-Type', 'application/json');
}
public function callback(SammyK\LaravelFacebookSdk\LaravelFacebookSdk $fb)
{
// $token = $fb->getAccessTokenFromRedirect();
// dd($token);
// Obtain an access token.
try {
$token = $fb->getAccessTokenFromRedirect();
} catch (Facebook\Exceptions\FacebookSDKException $e) {
dd($e->getMessage());
}
// Access token will be null if the user denied the request
// or if someone just hit this URL outside of the OAuth flow.
if (!$token) {
// Get the redirect helper
$helper = $fb->getRedirectLoginHelper();
if (!$helper->getError()) {
abort(403, 'Unauthorized action.');
}
// User denied the request
// echo '<p>Error: ' . $helper->getError();
// echo '<p>Code: ' . $helper->getErrorCode();
// echo '<p>Reason: ' . $helper->getErrorReason();
// echo '<p>Description: ' . $helper->getErrorDescription();
// exit ;
dd($helper->getError(), $helper->getErrorCode(), $helper->getErrorReason(), $helper->getErrorDescription());
}
$fb->setDefaultAccessToken($token);
if (!$token->isLongLived()) {
// OAuth 2.0 client handler
$oauth_client = $fb->getOAuth2Client();
// Extend the access token.
try {
$token = $oauth_client->getLongLivedAccessToken($token);
} catch (Facebook\Exceptions\FacebookSDKException $e) {
dd($e->getMessage());
}
}
//this is for not include $token in the get calls
$fb->setDefaultAccessToken($token);
// Get basic info on the user from Facebook.
try {
$response = $fb->get('/me?fields=id,email');
} catch (Facebook\Exceptions\FacebookSDKException $e) {
dd($e->getMessage());
}
try {
$profileresponse = $fb->get('/me?fields=id,name,gender');
} catch (Facebook\Exceptions\FacebookSDKException $e) {
dd($e->getMessage());
}
// Convert the response to a `Facebook/GraphNodes/GraphUser` collection
$facebook_user = $response->getGraphUser();
$mecanex_user = $profileresponse->getGraphUser();
$existing_mecanex_user = MecanexUser::where('facebook_user_id', '=', $facebook_user["id"])->get()->first();
$existing_user = User::where('facebook_user_id', '=', $facebook_user["id"])->get()->first();
// Create the user if it does not exist or update the existing entry.
// This will only work if you've added the SyncableGraphNodeTrait to your User model.
if ($existing_user == null) {
$facebook_user["username"] = "******" . $facebook_user["id"];
} else {
$facebook_user["username"] = $existing_user->username;
}
$user = User::createOrUpdateGraphNode($facebook_user);
//store profile data in mecanex_users table
$id = $user->id;
$facebook_id = $user->facebook_user_id;
if ($existing_mecanex_user == null) {
$username = "******" . $user->facebook_user_id;
} else {
$username = $existing_mecanex_user->username;
}
$email = $user->email;
$fullname = $mecanex_user->getName();
$fullname = explode(" ", $fullname);
$name = $fullname[0];
$surname = $fullname[1];
$gender = $mecanex_user->getGender();
if ($gender == 'female') {
$gender_id = 2;
} else {
$gender_id = 1;
}
$fbuser = MecanexUser::firstOrNew(array('facebook_user_id' => $facebook_id));
$fbuser->username = $username;
$fbuser->user_id = $id;
$fbuser->facebook_user_id = $facebook_id;
$fbuser->gender_id = $gender_id;
$fbuser->name = $name;
$fbuser->surname = $surname;
$fbuser->email = $email;
$fbuser->save();
// Log the user into Laravel
Auth::login($user);
if ($existing_mecanex_user == null) {
// create records in table users_terms-scores once a mecanex user has been created
$terms = Term::all();
$total_terms = count($terms);
foreach ($terms as $term) {
$fbuser->term()->sync([$term->id => ['user_score' => 0]], false);
$fbuser->profilescore()->sync([$term->id => ['profile_score' => 0]], false);
}
for ($i = 1; $i <= $total_terms; $i++) {
for ($j = $i + 1; $j <= $total_terms; $j++) {
$mec_matrix = new MecanexUserTermHomeTermNeighbour();
$mec_matrix->mecanex_user_id = $fbuser->id;
$mec_matrix->term_home_id = $i;
$mec_matrix->term_neighbor_id = $j;
$mec_matrix->link_score = 0.05;
$mec_matrix->save();
}
}
}
return redirect('/home')->with('message', 'Successfully logged in with Facebook');
}
private function content_similarity($user_id, $video_ids)
{
$temp_profile_scores = [];
// if there is no video list, search all videos, else only those on the list
if (count($video_ids) == 0) {
$videos = Video::all();
} else {
// $videos = Video::whereRaw('video_id IN (' . $video_ids . ')')->get();
$tmpArray = explode(',', $video_ids);
$func = function ($string) {
return substr($string, 1, -1);
};
$myArray = array_map($func, $tmpArray);
$videos = DB::table('videos')->whereIn('video_id', $myArray)->get();
}
//keep all terms of the user in a list
$terms = Term::all();
$user = MecanexUser::where('id', $user_id)->get()->first();
$user_terms_scores = $user->profilescore;
foreach ($user_terms_scores as $user_term_score) {
$temp_profile_scores[] = $user_term_score->pivot->profile_score;
}
foreach ($videos as $video) {
$arithmitis = 0;
$sumA = 0;
$sumB = 0;
$temp_video_scores = [];
//keep all terms of video in a list
$video_terms_scores = DB::select(DB::raw('SELECT * FROM videos_terms_scores WHERE video_id=? ORDER BY term_id'), [$video->id]);
foreach ($video_terms_scores as $video_term_score) {
$temp_video_scores[] = $video_term_score->video_score;
}
// calculate the similarity
for ($i = 0; $i < count($terms); $i++) {
$arithmitis = $arithmitis + $temp_video_scores[$i] * $temp_profile_scores[$i];
$sumA = $sumA + pow($temp_video_scores[$i], 2);
$sumB = $sumB + pow($temp_profile_scores[$i], 2);
}
$videoScores[$video->id] = $arithmitis / (sqrt($sumA) + sqrt($sumB));
}
return $videoScores;
}
private function content_similarity($user_id, $limit)
{
$result = [];
$videos = Video::all();
$terms = Term::all();
$user = MecanexUser::where('id', $user_id)->get()->first();
$user_terms_scores = $user->profilescore;
foreach ($user_terms_scores as $user_term_score) {
$temp_profile_scores[] = $user_term_score->pivot->profile_score;
}
foreach ($videos as $video) {
$arithmitis = 0;
$sumA = 0;
$sumB = 0;
$temp_video_scores = [];
$video_terms_scores = DB::select(DB::raw('SELECT * FROM videos_terms_scores WHERE video_id=? ORDER BY term_id'), [$video->id]);
foreach ($video_terms_scores as $video_term_score) {
$temp_video_scores[] = $video_term_score->video_score;
}
for ($i = 0; $i < count($terms); $i++) {
$arithmitis = $arithmitis + $temp_video_scores[$i] * $temp_profile_scores[$i];
$sumA = $sumA + pow($temp_video_scores[$i], 2);
$sumB = $sumB + pow($temp_profile_scores[$i], 2);
}
$videoScores[$video->id] = $arithmitis / (sqrt($sumA) + sqrt($sumB));
}
arsort($videoScores);
$videoScores = array_slice($videoScores, 0, $limit, true);
foreach ($videoScores as $key => $score) {
$video = $videos->find($key);
$result[] = array('video_id' => $video->id, 'title' => $video->title, 'similarity' => $score, 'euscreen_id' => $video->video_id);
}
return $result;
}
/**
* Return clusterheads and corresponding videos for filtered users.
*
* @return Clusterheads and videos
*/
public function professional(Request $request)
{
try {
$mecanexusers = MecanexUser::all();
// filter by demographics
if ($request->gender_id != 0) {
$mecanexusers = $mecanexusers->where("gender_id", (int) $request->gender_id);
}
if ($request->age_id != 0) {
$mecanexusers = $mecanexusers->where("age_id", (int) $request->age_id);
}
if ($request->education_id != 0) {
$mecanexusers = $mecanexusers->where("education_id", (int) $request->education_id);
}
if ($request->occupation_id != 0) {
$mecanexusers = $mecanexusers->where("occupation_id", (int) $request->occupation_id);
}
if ($request->country_id != 0) {
$mecanexusers = $mecanexusers->where("country_id", (int) $request->country_id);
}
if ($request->num != 0) {
$num = $request->num;
} else {
$num = 50;
}
// filter by preference on terms
// keep mecanex users whose term profile score is more than 0.7 when normalized by the max term value of the user
if ($request->terms != []) {
$all_terms = Term::all();
foreach ($all_terms as $term) {
if (strpos($request->terms, $term->term) !== false) {
$mecanexusers = $mecanexusers->filter(function ($user) use($term) {
$myquery = DB::select(DB::raw(' SELECT MAX(profile_score) as mymax
FROM users_terms_profilescores
WHERE mecanex_user_id=' . $user->id . ''));
if ($myquery[0]->mymax == 0) {
// don't take into account users that have not provided any information
return false;
}
return $user->profilescore[$term->id - 1]['pivot']['profile_score'] / $myquery[0]->mymax > 0.7;
// minus one because terms start from 0 where id starts from 1
});
// $response[] = $mecanexusers[1]->profilescore[$term->id-1]['pivot']['profile_score'];
// $myquery = DB::select(DB::raw(' SELECT MAX(profile_score) as mymax
// FROM users_terms_profilescores
// WHERE mecanex_user_id='. $mecanexusers[2]->id .''));
}
}
}
$array_of_users = array();
// If no mecanexusers exist from the filters selected, we return a random list of videos
if ($mecanexusers->isEmpty()) {
if ($request->videos == null) {
$videos = Video::orderByRaw('RAND()')->take($num)->get();
} else {
$reqvideos = "'" . str_replace(",", "','", $request->videos) . "'";
// $videos = Video::where('video_id','in',['EUS_025A722EA4B240D8B6F6330A8783143C'])->orderByRaw('RAND()')->take($num)->get();
$videos = DB::select(DB::raw(' SELECT *
FROM videos
WHERE video_id IN (' . $reqvideos . ') ORDER BY RAND() LIMIT ' . $num . ''));
}
$response = [];
foreach ($videos as $video) {
$response['videos'][] = $video->video_id;
}
$statusCode = 200;
return $response;
}
foreach ($mecanexusers as $mecanexuser) {
$array = array();
$terms = $mecanexuser->profilescore;
foreach ($terms as $term) {
$temp = (double) $term['pivot']['profile_score'];
array_push($array, $temp);
}
array_push($array_of_users, $array);
}
/** return the array of users so that we can see whether the profiles have normalized
* values so that they can be clustered properly
*/
// return $array_of_users;
$space = new Space(14);
$num_of_clusters = 5;
foreach ($array_of_users as $point) {
$space->addPoint($point);
}
$clusters = $space->solve($num_of_clusters);
$statusCode = 200;
$all_users = [];
// foreach ($clusters as $i => $cluster)
// printf("Cluster %d [%d,%d]: %d points\n", $i, $cluster[0], $cluster[1], count($cluster));
foreach ($clusters as $i => $cluster) {
$terms = [];
for ($j = 0; $j < 14; $j++) {
array_push($terms, $cluster[$j]);
}
$all_users[] = ['cluster_id' => $i, 'cluster_terms' => $terms, 'num_of_users' => count($cluster)];
}
$cluster_list = [];
foreach ($all_users as $user) {
$cluster_list[] = ['cluster_id' => $user['cluster_id'], 'video_ids' => $this->recommend_video($user['cluster_terms'], $request), 'cluster_terms' => $user['cluster_terms'], 'num_of_users' => $user['num_of_users']];
}
// $response = $cluster_list[0]['video_ids'][0]->id;
$video_list = [];
$response = [];
$num_of_videos = 0;
$total_num_of_videos = count($cluster_list[0]['video_ids']);
for ($i = 0; $i < $total_num_of_videos; $i++) {
for ($j = 0; $j < $num_of_clusters; $j++) {
$video = $cluster_list[$j]['video_ids'][$i];
if (!in_array($video->video_id, $video_list, true)) {
$video_list[] = $video->video_id;
$response['videos'][] = $video->euscreen_id;
$num_of_videos += 1;
}
if ($num_of_videos == $total_num_of_videos) {
break;
}
}
if ($num_of_videos == $total_num_of_videos) {
break;
}
}
return $response;
} catch (Exception $e) {
$statusCode = 400;
} finally {
return Response::json($response, $statusCode);
}
}
public function rf(Request $request)
{
$user = Auth::user();
$username = $user->username;
$device = "1";
$video_id = $request->video_id;
$action_type = 6;
$explicit_rf = $request->score;
//check if $request->score==-1 or 0 or 1
$record_exists = UserAction::where('username', $username)->where('video_id', $video_id)->where('action', $action_type)->first();
if (empty($record_exists)) {
$user_action = new UserAction(['username' => $username, 'device_id' => '1', 'video_id' => $video_id, 'explicit_rf' => $explicit_rf, 'action' => $action_type]);
$user_action->save();
$get_importance = Action::where('id', $action_type)->first();
$importance = $get_importance->importance;
$user_action->update(array('weight' => 1, 'importance' => $importance));
return $record_exists;
} else {
$record_exists->update(array('explicit_rf' => $explicit_rf));
}
//store in the dcgs table - only used for the online experiments
$mecanex_user = MecanexUser::where('username', $username)->first();
$dcg_record = Dcg::where('mecanex_user_id', $mecanex_user->id)->where('video_id', $video_id);
$dcg_record->update(array('explicit_rf' => $explicit_rf));
//////////////calculate ku///////////////////////
$k_nominator = UserAction::where('username', $username)->where('video_id', $video_id)->groupBy('username')->get(['username', DB::raw('SUM(importance*weight) as total_score')])->first();
//prepei edw na to diairw k me to plithos twn sunolikwn enrichments k ads
$query = "SELECT SUM(t1.importance ) AS total FROM (SELECT DISTINCT action, importance FROM user_actions WHERE username=:username AND video_id=:videoid) AS t1 ";
$k_denominator = DB::select(DB::raw($query), array('username' => $username, 'videoid' => $video_id));
//returns array
$k = $k_nominator->total_score / $k_denominator[0]->total;
//to [0] gia na prospelasei to 1o stoixeio tou array pou einai to object
/////////////////////////////update weights and update profile//////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
/////////////Retrieve Terms/////////////////////////////
//////////////retrieve terms for given video//////////////
$video = Video::where('video_id', $video_id)->first();
$threshold = 0.1;
//need to appropriate set
$results = $video->term()->where('video_score', '>', $threshold)->distinct()->get(array('term_id'));
//$results = $results->unique();
//return $results;
$video_term_list = [];
foreach ($results as $result) {
//retrieve the terms that will be updated
array_push($video_term_list, $result->term_id);
}
sort($video_term_list);
//return $video_term_list;
///////////retrieve terms for the clicked enrichments//////////////
$get_actionid = Action::where('action', 'click enrichment')->first();
$action_id = $get_actionid->id;
$enrichment_ids = UserAction::where('username', $username)->where('video_id', $video_id)->where('action', $action_id)->get(array('content_id'));
$enrichment_term_list = [];
// foreach ($enrichment_ids as $enrichment_id)
// {
//
// //call the api and get some terms
// //or emulate enrichment_terms
// //$results=Enrichment::where('id',$enrichment_id)->get(array('term_id'))
// foreach($results as $result)
// {
// array_push($enrichment_term_list,$result->term_id);
// }
//
// }
//$enrichment_terms=array_unique($enrichment_term_list);
// $enrichment_terms = [3, 4, 7];
//retrieve terms for the clicked ads
// $ads_terms = [4, 8, 10];
///Final term_list - no need since I will update in three steps
// $term_list=array_merge($video_term_list,$enrichment_terms,$ads_terms);
// $terms=array_unique($term_list);
////////////////update weights of profile//////////////////////////
$term_scores = [];
//save all scores to get the max
$user = MecanexUser::where('username', $username)->get()->first();
$video = Video::where('video_id', $video_id)->get()->first();
$link_user = MecanexUserTermHomeTermNeighbour::where('mecanex_user_id', $user->id)->get()->first();
//return $link_user;
//update based on video_terms
foreach ($video_term_list as $video_term_id) {
$temp_user = $user->term->find($video_term_id);
$user_term_score = $temp_user->pivot->user_score;
//get score of user
$temp_video = $video->term->find($video_term_id);
$video_term_score = $temp_video->pivot->video_score;
//get score of video
//update score
$new_score = $user_term_score + $k * (0.8 * $video_term_score);
//ok
array_push($term_scores, $new_score);
// //store score
$user->term()->sync([$video_term_id => ['user_score' => $new_score]], false);
}
// update matrix
$number_video_terms = count($video_term_list);
$link_term_scores = [];
//save all scores to get the max
for ($i = 0; $i <= $number_video_terms - 1; $i++) {
for ($j = $i + 1; $j < $number_video_terms; $j++) {
$temp_user_matrix = MecanexUserTermHomeTermNeighbour::where('mecanex_user_id', $user->id)->where('term_home_id', $video_term_list[$i])->where('term_neighbor_id', $video_term_list[$j])->get()->first();
//return $temp_user_matrix;
$temp_video = $video->term->find($video_term_list[$i]);
$video_term_score1 = $temp_video->pivot->video_score;
$temp_video = $video->term->find($video_term_list[$j]);
$video_term_score2 = $temp_video->pivot->video_score;
//return $temp_user_matrix;
$new_score = $temp_user_matrix->link_score + $k * (0.8 * ($video_term_score1 * $video_term_score2));
array_push($link_term_scores, $new_score);
$temp_user_matrix->link_score = $new_score;
$temp_user_matrix->save();
}
}
//same should be done for enrichments and ads
//find max value and divide term values
$max_term_value = max($term_scores);
$max_link_term_value = max($link_term_scores);
foreach ($video_term_list as $video_term_id) {
$temp_user = $user->term->find($video_term_id);
$user_term_score = $temp_user->pivot->user_score;
//get score of user
$temp_video = $video->term->find($video_term_id);
$video_term_score = $temp_video->pivot->video_score;
//get score of video
//update score
$new_score = $user_term_score / $max_term_value;
//ok
// //store score
$user->term()->sync([$video_term_id => ['user_score' => $new_score]], false);
}
for ($i = 0; $i <= $number_video_terms - 1; $i++) {
for ($j = $i + 1; $j < $number_video_terms; $j++) {
$temp_user_matrix = MecanexUserTermHomeTermNeighbour::where('mecanex_user_id', $user->id)->where('term_home_id', $video_term_list[$i])->where('term_neighbor_id', $video_term_list[$j])->get()->first();
$old_score = $temp_user_matrix->link_score;
$new_score = $old_score / $max_link_term_value;
$temp_user_matrix->link_score = $new_score;
$temp_user_matrix->save();
}
}
//calculate profile
$terms = Term::all()->count();
for ($j = 1; $j <= $terms; $j++) {
$profile_score = 0;
for ($i = 1; $i <= $terms; $i++) {
$temp_user = $user->term->find($i);
$user_term_score = $temp_user->pivot->user_score;
//get score of user
if ($i == $j) {
$link_score = 0;
} elseif ($i > $j) {
$temp_user_matrix = MecanexUserTermHomeTermNeighbour::where('mecanex_user_id', $user->id)->where('term_home_id', $j)->where('term_neighbor_id', $i)->get()->first();
$link_score = $temp_user_matrix->link_score;
} else {
$temp_user_matrix = MecanexUserTermHomeTermNeighbour::where('mecanex_user_id', $user->id)->where('term_home_id', $i)->where('term_neighbor_id', $j)->get()->first();
$link_score = $temp_user_matrix->link_score;
}
$profile_score = $profile_score + $user_term_score * $link_score;
}
$user->profilescore()->sync([$j => ['profile_score' => $profile_score]], false);
}
// DB::table('user_actions')->where('username',$username)->where('video_id', $video_id)->delete();
return Redirect::route('home')->with('message', 'Thank you for watching the video');
}
