public function score($docId, Zend_Search_Lucene_Interface $reader)
{
if (isset($this->_docVector[$docId])) {
return $reader->getSimilarity()->tf($this->_termFreqs[$docId]) * $this->_weight->getValue() * $reader->norm($docId, $this->_term->field) * $this->getBoost();
} else {
return 0;
}
}
/**
* Score calculator for non conjunction queries (not all terms are required)
*
* @param integer $docId
* @param Zend_Search_Lucene_Interface $reader
* @return float
*/
public function _nonConjunctionScore($docId, $reader)
{
if ($this->_coord === null) {
$this->_coord = array();
$maxCoord = 0;
foreach ($this->_signs as $sign) {
if ($sign !== false) {
$maxCoord++;
}
}
for ($count = 0; $count <= $maxCoord; $count++) {
$this->_coord[$count] = $reader->getSimilarity()->coord($count, $maxCoord);
}
}
$score = 0.0;
$matchedTerms = 0;
foreach ($this->_terms as $termId => $term) {
// Check if term is
if ($this->_signs[$termId] !== false && isset($this->_termsFreqs[$termId][$docId])) {
$matchedTerms++;
/**
* We don't need to check that term freq is not 0
* Score calculation is performed only for matched docs
*/
$score += $reader->getSimilarity()->tf($this->_termsFreqs[$termId][$docId]) * $this->_weights[$termId]->getValue() * $reader->norm($docId, $term->field);
}
}
return $score * $this->_coord[$matchedTerms] * $this->getBoost();
}
/**
* Returns a normalization factor for "field, document" pair.
*
* @param integer $id
* @param string $fieldName
* @return float
*/
public function norm($id, $fieldName)
{
return $this->_index->norm($id, $fieldName);
}
public function _conjunctionScore($docId, Zend_Search_Lucene_Interface $reader)
{
if ($this->_coord === null) {
$this->_coord = $reader->getSimilarity()->coord(count($this->_terms), count($this->_terms));
}
$score = 0.0;
foreach ($this->_terms as $termId => $term) {
$score += $reader->getSimilarity()->tf($this->_termsFreqs[$termId][$docId]) * $this->_weights[$termId]->getValue() * $reader->norm($docId, $term->field);
}
return $score * $this->_coord * $this->getBoost();
}
