mirror of
https://codeberg.org/comaps/comaps
synced 2025-12-29 01:03:46 +00:00
52 lines
1.4 KiB
C++
52 lines
1.4 KiB
C++
#include "generator/sponsored_scoring.hpp"
|
|
|
|
#include "generator/booking_dataset.hpp"
|
|
#include "generator/feature_builder.hpp"
|
|
|
|
#include "geometry/mercator.hpp"
|
|
|
|
|
|
namespace
|
|
{
|
|
// Calculated with tools/python/booking_hotels_quality.py.
|
|
double constexpr kOptimalThreshold = 0.304875;
|
|
} // namespace
|
|
|
|
namespace generator
|
|
{
|
|
namespace sponsored_scoring
|
|
{
|
|
template <>
|
|
double MatchStats<BookingHotel>::GetMatchingScore() const
|
|
{
|
|
// TODO(mgsergio): Use tuner to get optimal function.
|
|
return m_linearNormDistanceScore * m_nameSimilarityScore;
|
|
}
|
|
|
|
template <>
|
|
bool MatchStats<BookingHotel>::IsMatched() const
|
|
{
|
|
return GetMatchingScore() > kOptimalThreshold;
|
|
}
|
|
|
|
/// @todo It looks like quite common Match function implementation,
|
|
/// because GetLatLon and GetName() needed.
|
|
template <>
|
|
MatchStats<BookingHotel> Match(BookingHotel const & h, feature::FeatureBuilder const & fb)
|
|
{
|
|
MatchStats<BookingHotel> score;
|
|
|
|
auto const fbCenter = mercator::ToLatLon(fb.GetKeyPoint());
|
|
auto const distance = ms::DistanceOnEarth(fbCenter, h.m_latLon);
|
|
score.m_linearNormDistanceScore =
|
|
impl::GetLinearNormDistanceScore(distance, BookingDataset::kDistanceLimitInMeters);
|
|
|
|
// TODO(mgsergio): Check all translations and use the best one.
|
|
score.m_nameSimilarityScore = impl::GetNameSimilarityScore(
|
|
h.m_name, std::string(fb.GetName(StringUtf8Multilang::kDefaultCode)));
|
|
|
|
return score;
|
|
}
|
|
} // namespace sponsored_scoring
|
|
} // namespace generator
|