diff options
Diffstat (limited to 'generator/sponsored_scoring.cpp')
| -rw-r--r-- | generator/sponsored_scoring.cpp | 16 |
1 files changed, 8 insertions, 8 deletions
diff --git a/generator/sponsored_scoring.cpp b/generator/sponsored_scoring.cpp index 76568aeeac..0ca1db65ff 100644 --- a/generator/sponsored_scoring.cpp +++ b/generator/sponsored_scoring.cpp @@ -5,22 +5,22 @@ #include "geometry/distance_on_sphere.hpp" -#include "std/algorithm.hpp" -#include "std/vector.hpp" +#include <algorithm> +#include <vector> namespace { -using WeightedBagOfWords = vector<pair<strings::UniString, double>>; +using WeightedBagOfWords = std::vector<std::pair<strings::UniString, double>>; -vector<strings::UniString> StringToWords(string const & str) +std::vector<strings::UniString> StringToWords(std::string const & str) { - vector<strings::UniString> result; + std::vector<strings::UniString> result; search::NormalizeAndTokenizeString(str, result, search::Delimiters{}); - sort(begin(result), end(result)); + std::sort(std::begin(result), std::end(result)); return result; } -WeightedBagOfWords MakeWeightedBagOfWords(vector<strings::UniString> const & words) +WeightedBagOfWords MakeWeightedBagOfWords(std::vector<strings::UniString> const & words) { // TODO(mgsergio): Calculate tf-idsf score for every word. auto constexpr kTfIdfScorePlaceholder = 1; @@ -92,7 +92,7 @@ double GetLinearNormDistanceScore(double distance, double const maxDistance) return 1.0 - distance / maxDistance; } -double GetNameSimilarityScore(string const & booking_name, string const & osm_name) +double GetNameSimilarityScore(std::string const & booking_name, std::string const & osm_name) { auto const aws = MakeWeightedBagOfWords(StringToWords(booking_name)); auto const bws = MakeWeightedBagOfWords(StringToWords(osm_name)); |