Chromium Code Reviews| Index: chrome/browser/autocomplete/bookmark_provider.cc |
| diff --git a/chrome/browser/autocomplete/bookmark_provider.cc b/chrome/browser/autocomplete/bookmark_provider.cc |
| index fb862fceaa560a271dd416001665b8d6331aabc7..8ee697779b1291b28bcb6b0c9dd49e5282abef34 100644 |
| --- a/chrome/browser/autocomplete/bookmark_provider.cc |
| +++ b/chrome/browser/autocomplete/bookmark_provider.cc |
| @@ -13,14 +13,15 @@ |
| #include "chrome/browser/autocomplete/autocomplete_result.h" |
| #include "chrome/browser/autocomplete/history_provider.h" |
| #include "chrome/browser/autocomplete/url_prefix.h" |
| +#include "chrome/browser/bookmarks/bookmark_match.h" |
| #include "chrome/browser/bookmarks/bookmark_model.h" |
| #include "chrome/browser/bookmarks/bookmark_model_factory.h" |
| -#include "chrome/browser/bookmarks/bookmark_title_match.h" |
| +#include "chrome/browser/omnibox/omnibox_field_trial.h" |
| #include "chrome/browser/profiles/profile.h" |
| #include "chrome/common/pref_names.h" |
| #include "net/base/net_util.h" |
| -typedef std::vector<BookmarkTitleMatch> TitleMatches; |
| +typedef std::vector<BookmarkMatch> BookmarkMatches; |
| // BookmarkProvider ------------------------------------------------------------ |
| @@ -29,7 +30,8 @@ BookmarkProvider::BookmarkProvider( |
| Profile* profile) |
| : AutocompleteProvider(listener, profile, |
| AutocompleteProvider::TYPE_BOOKMARK), |
| - bookmark_model_(NULL) { |
| + bookmark_model_(NULL), |
| + score_using_url_matches_(OmniboxFieldTrial::BookmarksIndexURLsValue()) { |
| if (profile) { |
| bookmark_model_ = BookmarkModelFactory::GetForProfile(profile); |
| languages_ = profile_->GetPrefs()->GetString(prefs::kAcceptLanguages); |
| @@ -43,8 +45,7 @@ void BookmarkProvider::Start(const AutocompleteInput& input, |
| matches_.clear(); |
| if (input.text().empty() || |
| - ((input.type() != AutocompleteInput::UNKNOWN) && |
| - (input.type() != AutocompleteInput::QUERY))) |
| + (input.type() == AutocompleteInput::FORCED_QUERY)) |
| return; |
| DoAutocomplete(input, |
| @@ -59,12 +60,12 @@ void BookmarkProvider::DoAutocomplete(const AutocompleteInput& input, |
| if (!bookmark_model_) |
| return; |
| - TitleMatches matches; |
| + BookmarkMatches matches; |
| // Retrieve enough bookmarks so that we have a reasonable probability of |
| // suggesting the one that the user desires. |
| const size_t kMaxBookmarkMatches = 50; |
| - // GetBookmarksWithTitlesMatching returns bookmarks matching the user's |
| + // GetBookmarksMatching returns bookmarks matching the user's |
| // search terms using the following rules: |
| // - The search text is broken up into search terms. Each term is searched |
| // for separately. |
| @@ -79,26 +80,21 @@ void BookmarkProvider::DoAutocomplete(const AutocompleteInput& input, |
| // - Multiple terms enclosed in quotes will require those exact words in that |
| // exact order to match. |
| // |
| - // Note: GetBookmarksWithTitlesMatching() will never return a match span |
| - // greater than the length of the title against which it is being matched, |
| - // nor can those spans ever overlap because the match spans are coalesced |
| - // for all matched terms. |
| - // |
| - // Please refer to the code for BookmarkIndex::GetBookmarksWithTitlesMatching |
| - // for complete details of how title searches are performed against the user's |
| + // Please refer to the code for BookmarkIndex::GetBookmarksMatching for |
| + // complete details of how searches are performed against the user's |
| // bookmarks. |
| - bookmark_model_->GetBookmarksWithTitlesMatching(input.text(), |
| - kMaxBookmarkMatches, |
| - &matches); |
| + bookmark_model_->GetBookmarksMatching(input.text(), |
| + kMaxBookmarkMatches, |
| + &matches); |
| if (matches.empty()) |
| return; // There were no matches. |
| AutocompleteInput fixed_up_input(input); |
| FixupUserInput(&fixed_up_input); |
| - for (TitleMatches::const_iterator i = matches.begin(); i != matches.end(); |
| + for (BookmarkMatches::const_iterator i = matches.begin(); i != matches.end(); |
| ++i) { |
| // Create and score the AutocompleteMatch. If its score is 0 then the |
| // match is discarded. |
| - AutocompleteMatch match(TitleMatchToACMatch(input, fixed_up_input, *i)); |
| + AutocompleteMatch match(BookmarkMatchToACMatch(input, fixed_up_input, *i)); |
| if (match.relevance > 0) |
| matches_.push_back(match); |
| } |
| @@ -122,12 +118,8 @@ namespace { |
| // for_each helper functor that calculates a match factor for each query term |
| // when calculating the final score. |
| // |
| -// Calculate a 'factor' from 0.0 to 1.0 based on 1) how much of the bookmark's |
| -// title the term matches, and 2) where the match is positioned within the |
| -// bookmark's title. A full length match earns a 1.0. A half-length match earns |
| -// at most a 0.5 and at least a 0.25. A single character match against a title |
| -// that is 100 characters long where the match is at the first character will |
| -// earn a 0.01 and at the last character will earn a 0.0001. |
| +// Calculate a 'factor' from 0 to the bookmark's title length for a match |
| +// based on 1) how many characters match and 2) where the match is positioned. |
| class ScoringFunctor { |
| public: |
| // |title_length| is the length of the bookmark title against which this |
| @@ -139,7 +131,7 @@ class ScoringFunctor { |
| void operator()(const Snippet::MatchPosition& match) { |
| double term_length = static_cast<double>(match.second - match.first); |
| - scoring_factor_ += term_length / title_length_ * |
| + scoring_factor_ += term_length * |
| (title_length_ - match.first) / title_length_; |
| } |
| @@ -152,32 +144,45 @@ class ScoringFunctor { |
| } // namespace |
| -AutocompleteMatch BookmarkProvider::TitleMatchToACMatch( |
| +AutocompleteMatch BookmarkProvider::BookmarkMatchToACMatch( |
| const AutocompleteInput& input, |
| const AutocompleteInput& fixed_up_input, |
| - const BookmarkTitleMatch& title_match) { |
| + const BookmarkMatch& bookmark_match) { |
| // The AutocompleteMatch we construct is non-deletable because the only |
| // way to support this would be to delete the underlying bookmark, which is |
| // unlikely to be what the user intends. |
| AutocompleteMatch match(this, 0, false, |
| AutocompleteMatchType::BOOKMARK_TITLE); |
| - const base::string16& title(title_match.node->GetTitle()); |
| - DCHECK(!title.empty()); |
| - |
| - const GURL& url(title_match.node->url()); |
| + base::string16 title(bookmark_match.node->GetTitle()); |
| + const GURL& url(bookmark_match.node->url()); |
| const base::string16& url_utf16 = base::UTF8ToUTF16(url.spec()); |
| - size_t match_start, inline_autocomplete_offset; |
| - URLPrefix::ComputeMatchStartAndInlineAutocompleteOffset( |
| - input, fixed_up_input, false, url_utf16, &match_start, |
| - &inline_autocomplete_offset); |
| + size_t inline_autocomplete_offset = URLPrefix::GetInlineAutocompleteOffset( |
| + input, fixed_up_input, false, url_utf16); |
| match.destination_url = url; |
| + const size_t match_start = !bookmark_match.url_match_positions.empty() ? |
|
Peter Kasting
2014/04/16 23:44:25
Tiny nit: Remove "!" and reverse arms
Mark P
2014/04/17 20:24:18
Done.
|
| + bookmark_match.url_match_positions[0].first : 0; |
| const bool trim_http = !AutocompleteInput::HasHTTPScheme(input.text()) && |
| ((match_start == base::string16::npos) || (match_start != 0)); |
| - match.contents = net::FormatUrl(url, languages_, |
| + std::vector<size_t> offsets = BookmarkMatch::OffsetsFromMatchPositions( |
|
Peter Kasting
2014/04/16 23:44:25
Nit: Consider using a typedef here/elsewhere
Mark P
2014/04/17 20:24:18
I prefer to keep it this way for consistency with
Peter Kasting
2014/04/17 22:30:37
Right, I really intended for things like FormatURL
Mark P
2014/04/18 14:52:43
Filed crbug.com/364840
|
| + bookmark_match.url_match_positions); |
| + // In addition to knowing how |offsets| is transformed, we need to know how |
| + // |inline_autocomplete_offset| is transformed. We add it to the end of |
| + // |offsets|, compute how everything is transformed, then remove it from the |
| + // end. |
| + offsets.push_back(inline_autocomplete_offset); |
| + match.contents = net::FormatUrlWithOffsets(url, languages_, |
| net::kFormatUrlOmitAll & ~(trim_http ? 0 : net::kFormatUrlOmitHTTP), |
| - net::UnescapeRule::SPACES, NULL, NULL, &inline_autocomplete_offset); |
| - match.contents_class.push_back( |
| - ACMatchClassification(0, ACMatchClassification::URL)); |
| + net::UnescapeRule::SPACES, NULL, NULL, &offsets); |
| + inline_autocomplete_offset = offsets.back(); |
| + offsets.pop_back(); |
| + BookmarkMatch::MatchPositions new_url_match_positions = |
| + BookmarkMatch::ReplaceOffsetsInMatchPositions( |
| + bookmark_match.url_match_positions, offsets); |
| + // *** test this |
|
Peter Kasting
2014/04/16 23:44:25
^^^ ?
Mark P
2014/04/17 20:24:18
Oops, forgot to remove the note that I should test
|
| + match.contents_class = |
| + ClassificationsFromMatch(new_url_match_positions, |
| + match.contents.size(), |
| + true); |
| match.fill_into_edit = |
| AutocompleteInput::FormattedStringWithEquivalentMeaning(url, |
| match.contents); |
| @@ -195,48 +200,58 @@ AutocompleteMatch BookmarkProvider::TitleMatchToACMatch( |
| } |
| match.description = title; |
| match.description_class = |
| - ClassificationsFromMatch(title_match.match_positions, |
| - match.description.size()); |
| + ClassificationsFromMatch(bookmark_match.title_match_positions, |
| + match.description.size(), |
| + false); |
| match.starred = true; |
| // Summary on how a relevance score is determined for the match: |
| // |
| - // For each term matching within the bookmark's title (as given by the set of |
| - // Snippet::MatchPositions) calculate a 'factor', sum up those factors, then |
| - // use the sum to figure out a value between the base score and the maximum |
| - // score. |
| + // For each match within the bookmark's title or URL (or both), calculate a |
| + // 'factor', sum up those factors, then use the sum to figure out a value |
| + // between the base score and the maximum score. |
| // |
| - // The factor for each term is the product of: |
| + // The factor for each match is the product of: |
| // |
| - // 1) how much of the bookmark's title has been matched by the term: |
| - // (term length / title length). |
| + // 1) how many characters in the bookmark's title/URL is part of this match. |
|
Peter Kasting
2014/04/16 23:44:25
Nit: is -> are
Mark P
2014/04/17 20:24:18
Done.
|
| + // This is capped at the length of the bookmark's title |
| + // to prevent terms that match in both the title and the URL from |
| + // scoring too strongly. |
| // |
| - // Example: Given a bookmark title 'abcde fghijklm', with a title length |
| - // of 14, and two different search terms, 'abcde' and 'fghijklm', with |
| - // term lengths of 5 and 8, respectively, 'fghijklm' will score higher |
| - // (with a partial factor of 8/14 = 0.571) than 'abcde' (5/14 = 0.357). |
| - // |
| - // 2) where the term match occurs within the bookmark's title, giving more |
| - // points for matches that appear earlier in the title: |
| - // ((title length - position of match start) / title_length). |
| + // 2) where the match occurs within the bookmark's title or URL, |
| + // giving more points for matches that appear earlier in the title: |
| + // ((title_length - position of match start) / title_length). |
| + // For matches in the URL, we still use the title_length in the above |
| + // formula. |
|
Peter Kasting
2014/04/16 23:44:25
This is really confusing. Why are URL matches sco
Mark P
2014/04/17 20:24:18
You're right, this part doesn't make much sense.
|
| // |
| // Example: Given a bookmark title of 'abcde fghijklm', with a title length |
| // of 14, and two different search terms, 'abcde' and 'fghij', with |
| // start positions of 0 and 6, respectively, 'abcde' will score higher |
| // (with a a partial factor of (14-0)/14 = 1.000 ) than 'fghij' (with |
| - // a partial factor of (14-6)/14 = 0.571 ). |
| + // a partial factor of (14-6)/14 = 0.571 ). (In this example neither |
| + // term matches in the URL.) |
| // |
| - // Once all term factors have been calculated they are summed. The resulting |
| - // sum will never be greater than 1.0 because of the way the bookmark model |
| - // matches and removes overlaps. (In particular, the bookmark model only |
| + // Once all match factors have been calculated they are summed. If URL |
| + // matches are not considered, the resulting sum will never be greater than |
| + // the length of the bookmark title because of the way the bookmark model |
| + // matches and removes overlaps. (In particular, the bookmark model only |
| // matches terms to the beginning of words and it removes all overlapping |
| - // matches, keeping only the longest. Together these mean that each |
| - // character is included in at most one match. This property ensures the |
| - // sum of factors is at most 1.) This sum is then multiplied against the |
| - // scoring range available, which is 299. The 299 is calculated by |
| - // subtracting the minimum possible score, 900, from the maximum possible |
| - // score, 1199. This product, ranging from 0 to 299, is added to the minimum |
| - // possible score, 900, giving the preliminary score. |
| + // matches, keeping only the longest. Together these mean that each |
| + // character is included in at most one match.) If URL matches are |
| + // considered, the sum can be greater. |
| + // |
| + // This sum is then normalized by the length of the bookmark title (if URL |
| + // matches are not considered) or by the length of the bookmark title + 10 |
| + // (if URL matches are considered) and capped at 1.0. (If URL matches |
| + // are considered, we want to expand the scoring range so fewer bookmarks |
| + // will hit the 1.0 cap and hence lose all ability to distinguish between |
| + // these high-quality bookmarks.) |
| + // |
| + // The normalized value is multiplied against the scoring range available, |
| + // which is 299. The 299 is calculated by subtracting the minimum possible |
| + // score, 900, from the maximum possible score, 1199. This product, ranging |
| + // from 0 to 299, is added to the minimum possible score, 900, giving the |
| + // preliminary score. |
| // |
| // If the preliminary score is less than the maximum possible score, 1199, |
| // it can be boosted up to that maximum possible score if the URL referenced |
| @@ -246,18 +261,32 @@ AutocompleteMatch BookmarkProvider::TitleMatchToACMatch( |
| // scored up to a maximum of three, the score is boosted by a fixed amount |
| // given by |kURLCountBoost|, below. |
| // |
| - ScoringFunctor position_functor = |
| - for_each(title_match.match_positions.begin(), |
| - title_match.match_positions.end(), ScoringFunctor(title.size())); |
| + if (score_using_url_matches_) { |
| + // Pretend empty titles are identical to the URL. |
| + if (title.empty()) |
| + title = base::ASCIIToUTF16(url.spec()); |
| + } else { |
| + DCHECK(!title.empty()); |
| + } |
| + ScoringFunctor title_position_functor = |
| + for_each(bookmark_match.title_match_positions.begin(), |
| + bookmark_match.title_match_positions.end(), |
| + ScoringFunctor(title.size())); |
| + ScoringFunctor url_position_functor = |
| + for_each(bookmark_match.url_match_positions.begin(), |
| + bookmark_match.url_match_positions.end(), |
| + ScoringFunctor(title.size())); |
| + const double summed_factors = title_position_functor.ScoringFactor() + |
| + (score_using_url_matches_ ? url_position_functor.ScoringFactor() : 0); |
| + const double normalized_sum = std::min( |
| + summed_factors / (title.size() + (score_using_url_matches_ ? 10 : 0)), |
| + 1.0); |
| const int kBaseBookmarkScore = 900; |
| const int kMaxBookmarkScore = AutocompleteResult::kLowestDefaultScore - 1; |
| const double kBookmarkScoreRange = |
| static_cast<double>(kMaxBookmarkScore - kBaseBookmarkScore); |
| - // It's not likely that GetBookmarksWithTitlesMatching will return overlapping |
| - // matches but let's play it safe. |
| - match.relevance = std::min(kMaxBookmarkScore, |
| - static_cast<int>(position_functor.ScoringFactor() * kBookmarkScoreRange) + |
| - kBaseBookmarkScore); |
| + match.relevance = static_cast<int>(normalized_sum * kBookmarkScoreRange) + |
| + kBaseBookmarkScore; |
| // Don't waste any time searching for additional referenced URLs if we |
| // already have a perfect title match. |
| if (match.relevance >= kMaxBookmarkScore) |
| @@ -276,11 +305,14 @@ AutocompleteMatch BookmarkProvider::TitleMatchToACMatch( |
| // static |
| ACMatchClassifications BookmarkProvider::ClassificationsFromMatch( |
| const Snippet::MatchPositions& positions, |
| - size_t text_length) { |
| + size_t text_length, |
| + bool is_url) { |
| + ACMatchClassification::Style url_style = |
| + is_url ? ACMatchClassification::URL : ACMatchClassification::NONE; |
| ACMatchClassifications classifications; |
| if (positions.empty()) { |
| classifications.push_back( |
| - ACMatchClassification(0, ACMatchClassification::NONE)); |
| + ACMatchClassification(0, url_style)); |
| return classifications; |
| } |
| @@ -288,7 +320,7 @@ ACMatchClassifications BookmarkProvider::ClassificationsFromMatch( |
| i != positions.end(); ++i) { |
| AutocompleteMatch::ACMatchClassifications new_class; |
| AutocompleteMatch::ClassifyLocationInString(i->first, i->second - i->first, |
| - text_length, 0, &new_class); |
| + text_length, url_style, &new_class); |
| classifications = AutocompleteMatch::MergeClassifications( |
| classifications, new_class); |
| } |