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Unified Diff: chrome/browser/autocomplete/scored_history_match.h

Issue 976423002: Remove ScoreHistoryMatch::Builder (Closed) Base URL: https://chromium.googlesource.com/chromium/src.git@cpplint
Patch Set: Address comments Created 5 years, 9 months ago
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Index: chrome/browser/autocomplete/scored_history_match.h
diff --git a/chrome/browser/autocomplete/scored_history_match.h b/chrome/browser/autocomplete/scored_history_match.h
index a73b67d9eadde72412eac3d96c1f02b232a6dc16..dfcaae1a99425431fea2d4903fd64b84fb4b7f0f 100644
--- a/chrome/browser/autocomplete/scored_history_match.h
+++ b/chrome/browser/autocomplete/scored_history_match.h
@@ -13,62 +13,46 @@
#include "chrome/browser/autocomplete/in_memory_url_index_types.h"
#include "components/history/core/browser/history_match.h"
#include "components/history/core/browser/history_types.h"
+#include "testing/gtest/include/gtest/gtest_prod.h"
+
+class ScoredHistoryMatchTest;
// An HistoryMatch that has a score as well as metrics defining where in the
// history item's URL and/or page title matches have occurred.
struct ScoredHistoryMatch : public history::HistoryMatch {
- // The Builder inner class allows the embedder to control how matches are
- // scored (we cannot use a base::Callback<> as base::Bind() is limited to 6
- // parameters).
- // TODO(sdefresne): remove this since ScoredHistoryMatch can now depends on
- // chrome/browser/autocomplete and components/bookmarks
- // http://crbug.com/462645
- class Builder {
- public:
- Builder() {}
- virtual ~Builder() {}
-
- // Creates a new match with a raw score calculated for the history item
- // given in |row| with recent visits as indicated in |visits|. First
- // determines if the row qualifies by seeing if all of the terms in
- // |terms_vector| occur in |row|. If so, calculates a raw score. This raw
- // score is in part determined by whether the matches occur at word
- // boundaries, the locations of which are stored in |word_starts|. For some
- // terms, it's appropriate to look for the word boundary within the term.
- // For instance, the term ".net" should look for a word boundary at the "n".
- // These offsets (".net" should have an offset of 1) come from
- // |terms_to_word_starts_offsets|. |history_client| is used to determine
- // if the match's URL is referenced by any bookmarks, which can also affect
- // the raw score. The raw score allows the matches to be ordered and can be
- // used to influence the final score calculated by the client of this index.
- // If the row does not qualify the raw score will be 0. |languages| is used
- // to help parse/format the URL before looking for the terms.
- virtual ScoredHistoryMatch Build(
- const history::URLRow& row,
- const VisitInfoVector& visits,
- const std::string& languages,
- const base::string16& lower_string,
- const String16Vector& terms_vector,
- const WordStarts& terms_to_word_starts_offsets,
- const RowWordStarts& word_starts,
- const base::Time now) const = 0;
- };
+ // ScoreMaxRelevance maps from an intermediate-score to the maximum
+ // final-relevance score given to a URL for this intermediate score.
+ // This is used to store the score ranges of HQP relevance buckets.
+ // Please see GetFinalRelevancyScore() for details.
+ typedef std::pair<double, int> ScoreMaxRelevance;
// Required for STL, we don't use this directly.
ScoredHistoryMatch();
- // Initialize the ScoredHistoryMatch, passing |url_info|, |input_location|,
- // |match_in_scheme| and |innermost_match| to HistoryMatch constructor, and
- // using |raw_score|, |url_matches|, |title_matches| and |can_inline| to
- // initialize the corresponding properties of this class.
- ScoredHistoryMatch(const history::URLRow& url_info,
- size_t input_location,
- bool match_in_scheme,
- bool innermost_match,
- int raw_score,
- const TermMatches& url_matches,
- const TermMatches& title_matches,
- bool can_inline);
+ // Initializes the ScoredHistoryMatch with a raw score calculated for the
+ // history item given in |row| with recent visits as indicated in |visits|. It
+ // first determines if the row qualifies by seeing if all of the terms in
+ // |terms_vector| occur in |row|. If so, calculates a raw score. This raw
+ // score is in part determined by whether the matches occur at word
+ // boundaries, the locations of which are stored in |word_starts|. For some
+ // terms, it's appropriate to look for the word boundary within the term. For
+ // instance, the term ".net" should look for a word boundary at the "n". These
+ // offsets (".net" should have an offset of 1) come from
+ // |terms_to_word_starts_offsets|. |is_url_bookmarked| indicates whether the
+ // match's URL is referenced by any bookmarks, which can also affect the raw
+ // score. The raw score allows the matches to be ordered and can be used to
+ // influence the final score calculated by the client of this index. If the
+ // row does not qualify the raw score will be 0. |languages| is used to help
+ // parse/format the URL before looking for the terms.
+ ScoredHistoryMatch(const history::URLRow& row,
+ const VisitInfoVector& visits,
+ const std::string& languages,
+ const base::string16& lower_string,
+ const String16Vector& terms_vector,
+ const WordStarts& terms_to_word_starts_offsets,
+ const RowWordStarts& word_starts,
+ bool is_url_bookmarked,
+ base::Time now);
~ScoredHistoryMatch();
@@ -78,6 +62,18 @@ struct ScoredHistoryMatch : public history::HistoryMatch {
static bool MatchScoreGreater(const ScoredHistoryMatch& m1,
const ScoredHistoryMatch& m2);
+ // Returns |term_matches| after removing all matches that are not at a
+ // word break that are in the range [|start_pos|, |end_pos|).
+ // start_pos == string::npos is treated as start_pos = length of string.
+ // (In other words, no matches will be filtered.)
+ // end_pos == string::npos is treated as end_pos = length of string.
+ static TermMatches FilterTermMatchesByWordStarts(
+ const TermMatches& term_matches,
+ const WordStarts& terms_to_word_starts_offsets,
+ const WordStarts& word_starts,
+ size_t start_pos,
+ size_t end_pos);
+
// The maximum number of recent visits to examine in GetFrequency().
// Public so url_index_private_data.cc knows how many visits it is
// expected to deliver (at minimum) to this class.
@@ -101,6 +97,88 @@ struct ScoredHistoryMatch : public history::HistoryMatch {
// True if this is a candidate for in-line autocompletion.
bool can_inline;
+
+ private:
+ friend class ScoredHistoryMatchTest;
+ FRIEND_TEST_ALL_PREFIXES(ScoredHistoryMatchTest, GetFinalRelevancyScore);
+ FRIEND_TEST_ALL_PREFIXES(ScoredHistoryMatchTest, GetHQPBucketsFromString);
+ FRIEND_TEST_ALL_PREFIXES(ScoredHistoryMatchTest, ScoringBookmarks);
+ FRIEND_TEST_ALL_PREFIXES(ScoredHistoryMatchTest, ScoringScheme);
+ FRIEND_TEST_ALL_PREFIXES(ScoredHistoryMatchTest, ScoringTLD);
+
+ // Initialize ScoredHistoryMatch statics. Must be called before any other
+ // method of ScoredHistoryMatch and before creating any instances.
+ static void Init();
+
+ // Return a topicality score based on how many matches appear in the url and
+ // the page's title and where they are (e.g., at word boundaries). Revises
+ // url_matches and title_matches of |scored_history_match| in the process so
Mark P 2015/03/12 21:31:37 update this comment. This variable no longer exis
sdefresne 2015/03/12 21:36:21 Done.
+ // they only reflect matches used for scoring. (For instance, some mid-word
+ // matches are not given credit in scoring.)
+ float GetTopicalityScore(const int num_terms,
+ const base::string16& cleaned_up_url,
+ const WordStarts& terms_to_word_starts_offsets,
+ const RowWordStarts& word_starts);
+
+ // Returns a recency score based on |last_visit_days_ago|, which is
+ // how many days ago the page was last visited.
+ static float GetRecencyScore(int last_visit_days_ago);
+
+ // Examines the first kMaxVisitsToScore and return a score (higher is
+ // better) based the rate of visits, whether the page is bookmarked, and
+ // how often those visits are typed navigations (i.e., explicitly
+ // invoked by the user). |now| is passed in to avoid unnecessarily
+ // recomputing it frequently.
+ static float GetFrequency(const base::Time& now,
+ const bool bookmarked,
+ const VisitInfoVector& visits);
+
+ // Combines the two component scores into a final score that's
+ // an appropriate value to use as a relevancy score. Scoring buckets are
+ // specified through |hqp_relevance_buckets|. Please see the function
+ // implementation for more details.
+ static float GetFinalRelevancyScore(
+ float topicality_score,
+ float frequency_score,
+ const std::vector<ScoreMaxRelevance>& hqp_relevance_buckets);
+
+ // Initializes the HQP experimental params: |hqp_relevance_buckets_|
+ // to default buckets. If hqp experimental scoring is enabled, it
+ // fetches the |hqp_experimental_scoring_enabled_|, |topicality_threshold_|
+ // and |hqp_relevance_buckets_| from omnibox field trials.
+ static void InitHQPExperimentalParams();
+
+ // Helper function to parse the string containing the scoring buckets.
+ // For example,
+ // String: "0.0:400,1.5:600,12.0:1300,20.0:1399"
+ // Buckets: vector[(0.0, 400),(1.5,600),(12.0,1300),(20.0,1399)]
+ // Returns false, in case if it fail to parse the string.
+ static bool GetHQPBucketsFromString(
+ const std::string& buckets_str,
+ std::vector<ScoreMaxRelevance>* hqp_buckets);
+
+ // Untyped visits to bookmarked pages score this, compared to 1 for
+ // untyped visits to non-bookmarked pages and 20 for typed visits.
+ static int bookmark_value_;
+
+ // If true, we allow input terms to match in the TLD (e.g., ".com").
+ static bool allow_tld_matches_;
+
+ // If true, we allow input terms to match in the scheme (e.g., "http://").
+ static bool allow_scheme_matches_;
+
+ // True, if hqp experimental scoring is enabled.
+ static bool hqp_experimental_scoring_enabled_;
+
+ // |topicality_threshold_| is used to control the topicality scoring.
+ // If |topicality_threshold_| > 0, then URLs with topicality-score < threshold
+ // are given topicality score of 0. By default it is initalized to -1.
+ static float topicality_threshold_;
+
+ // |hqp_relevance_buckets_| gives mapping from (topicality*frequency)
+ // to the final relevance scoring. Please see GetFinalRelevancyScore()
+ // for more details and scoring method.
+ static std::vector<ScoreMaxRelevance>* hqp_relevance_buckets_;
};
typedef std::vector<ScoredHistoryMatch> ScoredHistoryMatches;
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