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#include "generator/sponsored_scoring.hpp"
#include "generator/opentable_dataset.hpp"
#include "generator/feature_builder.hpp"
using namespace feature;
namespace
{
// Calculated with tools/python/booking_hotels_quality.py.
double constexpr kOptimalThreshold = 0.312887;
} // namespace
namespace generator
{
namespace sponsored_scoring
{
template <>
double MatchStats<OpentableRestaurant>::GetMatchingScore() const
{
// TODO(mgsergio): Use tuner to get optimal function.
return m_linearNormDistanceScore * m_nameSimilarityScore;
}
template <>
bool MatchStats<OpentableRestaurant>::IsMatched() const
{
return GetMatchingScore() > kOptimalThreshold;
}
template <>
MatchStats<OpentableRestaurant> Match(OpentableRestaurant const & r, FeatureBuilder const & fb)
{
MatchStats<OpentableRestaurant> score;
auto const fbCenter = mercator::ToLatLon(fb.GetKeyPoint());
auto const distance = ms::DistanceOnEarth(fbCenter, r.m_latLon);
score.m_linearNormDistanceScore =
impl::GetLinearNormDistanceScore(distance, OpentableDataset::kDistanceLimitInMeters);
score.m_nameSimilarityScore =
impl::GetNameSimilarityScore(r.m_name, fb.GetName(StringUtf8Multilang::kDefaultCode));
return score;
}
} // namespace sponsored_scoring
} // namespace generator
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