Chromium Code Reviews
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| 1 // Copyright (c) 2012 The Chromium Authors. All rights reserved. | |
| 2 // Use of this source code is governed by a BSD-style license that can be | |
| 3 // found in the LICENSE file. | |
| 4 | |
| 5 #include "chrome/browser/autocomplete/bookmark_provider.h" | |
| 6 | |
| 7 #include <algorithm> | |
| 8 #include <functional> | |
| 9 #include <vector> | |
| 10 | |
| 11 #include "base/metrics/histogram.h" | |
| 12 #include "base/time.h" | |
| 13 #include "chrome/browser/autocomplete/autocomplete_result.h" | |
| 14 #include "chrome/browser/bookmarks/bookmark_model.h" | |
| 15 #include "chrome/browser/bookmarks/bookmark_model_factory.h" | |
| 16 #include "chrome/browser/prefs/pref_service.h" | |
| 17 #include "chrome/browser/profiles/profile.h" | |
| 18 #include "chrome/common/pref_names.h" | |
| 19 #include "net/base/net_util.h" | |
| 20 | |
| 21 typedef std::vector<bookmark_utils::TitleMatch> TitleMatches; | |
| 22 | |
| 23 // BookmarkProvider ------------------------------------------------------------ | |
| 24 | |
| 25 BookmarkProvider::BookmarkProvider( | |
| 26 AutocompleteProviderListener* listener, | |
| 27 Profile* profile) | |
| 28 : AutocompleteProvider(listener, profile, | |
| 29 AutocompleteProvider::TYPE_BOOKMARK), | |
| 30 bookmark_model_(NULL) { | |
| 31 if (profile) { | |
| 32 bookmark_model_ = BookmarkModelFactory::GetForProfile(profile); | |
| 33 languages_ = profile_->GetPrefs()->GetString(prefs::kAcceptLanguages); | |
| 34 } | |
| 35 } | |
| 36 | |
| 37 void BookmarkProvider::Start(const AutocompleteInput& input, | |
| 38 bool minimal_changes) { | |
| 39 if (minimal_changes) | |
| 40 return; | |
| 41 matches_.clear(); | |
| 42 | |
| 43 // Short-circuit any matching when inline autocompletion is disabled because | |
| 44 // none of the BookmarkProvider's matches can score high enough to qualify. | |
|
Peter Kasting
2012/10/15 22:17:22
Nit: This comment is not actually technically accu
mrossetti
2012/10/16 16:38:05
Ah, but of course.
| |
| 45 if (input.text().empty() || | |
| 46 ((input.type() != AutocompleteInput::UNKNOWN) && | |
| 47 (input.type() != AutocompleteInput::REQUESTED_URL) && | |
| 48 (input.type() != AutocompleteInput::QUERY)) || | |
| 49 ((input.matches_requested() == AutocompleteInput::BEST_MATCH) && | |
| 50 input.prevent_inline_autocomplete())) | |
| 51 return; | |
| 52 | |
| 53 base::TimeTicks start_time = base::TimeTicks::Now(); | |
| 54 DoAutocomplete(input, | |
| 55 input.matches_requested() == AutocompleteInput::BEST_MATCH); | |
| 56 UMA_HISTOGRAM_TIMES("Autocomplete.BookmarkProviderMatchTime", | |
| 57 base::TimeTicks::Now() - start_time); | |
| 58 } | |
| 59 | |
| 60 BookmarkProvider::~BookmarkProvider() {} | |
| 61 | |
| 62 void BookmarkProvider::DoAutocomplete(const AutocompleteInput& input, | |
| 63 bool best_match) { | |
| 64 // We may not have a bookmark model for some unit tests. | |
| 65 if (!bookmark_model_) | |
| 66 return; | |
| 67 | |
| 68 TitleMatches matches; | |
| 69 // Retrieve enough bookmarks so that we have a reasonable probability of | |
| 70 // suggesting the one that the user desires. | |
| 71 const size_t kMaxBookmarkMatches = 50; | |
| 72 | |
| 73 // GetBookmarksWithTitlesMatching returns bookmarks matching the user's | |
| 74 // search terms using the following rules: | |
| 75 // - The search text is broken up into search terms. Each term is searched | |
| 76 // for separately. | |
| 77 // - Term matches are always performed against the start of a word. 'def' | |
| 78 // will match against 'define' but not against 'indefinite'. | |
| 79 // - Terms must be at least three characters in length in order to perform | |
| 80 // partial word matches. Any term of lesser length will only be used as an | |
| 81 // exact match. 'def' will match against 'define' but 'de' will not match. | |
| 82 // - A search containing multiple terms will return results with those words | |
| 83 // occuring in any order. | |
| 84 // - Terms enclosed in quotes comprises a phrase that must match exactly. | |
| 85 // - Multiple terms enclosed in quotes will require those exact words in that | |
| 86 // exact order to match. | |
| 87 // | |
| 88 // Note: GetBookmarksWithTitlesMatching() will never return a match span | |
| 89 // greater than the length of the title against which it is being matched, | |
| 90 // nor can those spans ever overlap because the match spans are coalesced | |
| 91 // for all matched terms. | |
| 92 // | |
| 93 // Please refer to the code for BookmarkIndex::GetBookmarksWithTitlesMatching | |
| 94 // for complete details of how title searches are performed against the user's | |
| 95 // bookmarks. | |
| 96 bookmark_model_->GetBookmarksWithTitlesMatching(input.text(), | |
| 97 kMaxBookmarkMatches, | |
| 98 &matches); | |
| 99 if (matches.empty()) | |
| 100 return; // There were no matches. | |
| 101 for (TitleMatches::const_iterator i = matches.begin(); i != matches.end(); | |
| 102 ++i) { | |
| 103 AutocompleteMatch match(TitleMatchToACMatch(*i)); | |
| 104 if (match.relevance > 0) | |
| 105 matches_.push_back(match); | |
| 106 } | |
| 107 | |
| 108 // Sort and clip the resulting matches. | |
| 109 size_t max_matches = best_match ? 1 : AutocompleteProvider::kMaxMatches; | |
| 110 if (matches_.size() > max_matches) { | |
| 111 std::partial_sort(matches_.begin(), matches_.end(), | |
| 112 matches_.begin() + max_matches, | |
| 113 AutocompleteMatch::MoreRelevant); | |
| 114 matches_.resize(max_matches); | |
| 115 } else { | |
| 116 std::sort(matches_.begin(), matches_.end(), | |
| 117 AutocompleteMatch::MoreRelevant); | |
| 118 } | |
| 119 } | |
| 120 | |
| 121 namespace { | |
| 122 | |
| 123 // for_each helper functor that calculates a match factor for each query term | |
| 124 // when calculating the final score. | |
| 125 // | |
| 126 // Calculate a 'factor' from 0.0 to 1.0 based on 1) how much of the bookmark's | |
| 127 // title the term matches, and 2) where the match is positioned within the | |
| 128 // bookmark's title. A full length match earns a 1.0. A half-length match earns | |
| 129 // at most a 0.5 and at least a 0.25. A single character match against a title | |
| 130 // that is 100 characters long where the match is at the first character will | |
| 131 // earn a 0.01 and at the last character will earn a 0.0001. | |
| 132 class ScoringFunctor { | |
| 133 public: | |
| 134 // |title_length| is the length of the bookmark title against which this | |
| 135 // match will be scored. | |
| 136 explicit ScoringFunctor(size_t title_length) | |
| 137 : title_length_(static_cast<double>(title_length)), | |
| 138 scoring_factor_(0.0) { | |
| 139 } | |
| 140 | |
| 141 void operator()(const Snippet::MatchPosition& match) { | |
| 142 double term_length = static_cast<double>(match.second - match.first); | |
| 143 scoring_factor_ += term_length / title_length_ * | |
| 144 (title_length_ - match.first) / title_length_; | |
| 145 } | |
| 146 | |
| 147 double ScoringFactor() { return scoring_factor_; } | |
| 148 | |
| 149 private: | |
| 150 double title_length_; | |
| 151 double scoring_factor_; | |
| 152 }; | |
| 153 | |
| 154 } // namespace | |
| 155 | |
| 156 AutocompleteMatch BookmarkProvider::TitleMatchToACMatch( | |
| 157 const bookmark_utils::TitleMatch& title_match) { | |
| 158 // Compose a match that has 1) the URL of the bookmark, and 2) the bookmark's | |
| 159 // title, not the URL's page title, as the description. The match will be | |
| 160 // discarded if its relevance is never increased from 0. We always pass false | |
| 161 // for the |deletable| parameter in the following constructor to indicate | |
| 162 // that the AutocompleteMatch we construct is non-deletable because the only | |
|
Peter Kasting
2012/10/15 22:17:22
Nit: For clarity, I'd remove everything in this se
mrossetti
2012/10/16 16:38:05
Sounds good.
| |
| 163 // way to support this would be to delete the underlying bookmark, which is | |
| 164 // unlikely to be what the user intends. | |
| 165 AutocompleteMatch match(this, 0, false, AutocompleteMatch::BOOKMARK_TITLE); | |
| 166 const string16& title(title_match.node->GetTitle()); | |
| 167 DCHECK(!title.empty()); | |
| 168 const GURL& url(title_match.node->url()); | |
| 169 match.destination_url = url; | |
| 170 match.contents = net::FormatUrl(url, languages_, | |
| 171 net::kFormatUrlOmitAll & net::kFormatUrlOmitHTTP, | |
| 172 net::UnescapeRule::SPACES, NULL, NULL, NULL); | |
| 173 match.contents_class.push_back( | |
| 174 ACMatchClassification(0, ACMatchClassification::NONE)); | |
| 175 match.fill_into_edit = | |
| 176 AutocompleteInput::FormattedStringWithEquivalentMeaning(url, | |
| 177 match.contents); | |
| 178 match.description = title; | |
| 179 match.description_class = | |
| 180 ClassificationsFromMatch(title_match.match_positions, | |
| 181 match.description.size()); | |
| 182 match.starred = true; | |
| 183 | |
| 184 // Summary on how a relevance score is determined for the match: | |
| 185 // | |
| 186 // For each term matching within the bookmark's title (as given by the set of | |
| 187 // Snippet::MatchPositions) calculate a 'factor', sum up those factors, then | |
| 188 // use the sum to figure out a value between the base score and the maximum | |
| 189 // score. | |
| 190 // | |
| 191 // The factor for each term is calculated based on: | |
| 192 // | |
| 193 // 1) how much of the bookmark's title has been matched by the term: | |
| 194 // (term length / title length). | |
| 195 // | |
| 196 // Example: Given a bookmark title of 'abcde fghijklm' and two different | |
| 197 // search terms, 'abcde' and 'fghijklm', 'fghijklm' will score higher | |
| 198 // (with a partial factor of 8/14 = 0.571) than 'abcde' (5/14 = 0.357). | |
| 199 // | |
| 200 // 2) where the term match occurs within the bookmark's title, giving more | |
| 201 // points for matches that appear earlier in the title: | |
| 202 // ((title length - position of match start) / title_length). | |
| 203 // | |
| 204 // Example: Given a bookmark title of 'abcde fghijklm' and two different | |
| 205 // search terms, 'abcde' and 'fghij', 'abcde' will score higher (with a | |
| 206 // match start position of 0 giving a partial factor of | |
| 207 // (14-0)/14 = 1.000 ) than 'fghij' (with a match start position of 6 | |
| 208 // giving (14-6)/14 = 0.571 ). | |
| 209 // | |
| 210 // Once all term factors have been calculated they are summed. The resulting | |
| 211 // sum will never be greater than 1.0. This sum is then multiplied against | |
| 212 // the scoring range available, which is 299. The 299 is calculated by | |
| 213 // subtracting the minimum possible score, 900, from the maximum possible | |
| 214 // score, 1199. This product, ranging from 0 to 299, is added to the minimum | |
| 215 // possible score, 900, giving the preliminary score. | |
| 216 // | |
| 217 // If the preliminary score is less than the maximum possible score, 1199, | |
| 218 // it can be boosted if the URL referenced by the bookmark is also referenced | |
| 219 // by any of the user's other bookmarks. A count of how many times the | |
| 220 // bookmark's URL is referenced is determined and for each additional | |
| 221 // reference beyond the one for the bookmark being scored up to a maximum | |
| 222 // of three, the score is boosted by a fixed amount given by |kURLCountBoost|, | |
| 223 // below. As it is possible for this boost to cause the score to exceed the | |
| 224 // maximum possible score, the score is capped to that maximum possible. | |
| 225 // | |
| 226 ScoringFunctor position_functor = | |
| 227 for_each(title_match.match_positions.begin(), | |
| 228 title_match.match_positions.end(), ScoringFunctor(title.size())); | |
| 229 const int kBaseBookmarkScore = 900; | |
| 230 const int kMaxBookmarkScore = AutocompleteResult::kLowestDefaultScore - 1; | |
| 231 const double kBookmarkScoreRange = | |
| 232 static_cast<double>(kMaxBookmarkScore - kBaseBookmarkScore); | |
| 233 // It's not likely that GetBookmarksWithTitlesMatching will return overlapping | |
| 234 // matches but let's play it safe. | |
| 235 match.relevance = std::min(kMaxBookmarkScore, | |
| 236 static_cast<int>(position_functor.ScoringFactor() * kBookmarkScoreRange) + | |
| 237 kBaseBookmarkScore); | |
| 238 // Don't waste any time searching for additional referenced URLs if we | |
| 239 // already have a perfect title match. | |
| 240 if (match.relevance >= kMaxBookmarkScore) | |
| 241 return match; | |
| 242 // Boost the score if the bookmark's URL is referenced by other bookmarks. | |
| 243 const int kURLCountBoost[4] = { 0, 75, 125, 150 }; | |
| 244 std::vector<const BookmarkNode*> nodes; | |
| 245 bookmark_model_->GetNodesByURL(url, &nodes); | |
| 246 DCHECK_GE(std::min(arraysize(kURLCountBoost), nodes.size()), 1U); | |
| 247 match.relevance += | |
| 248 kURLCountBoost[std::min(arraysize(kURLCountBoost), nodes.size()) - 1]; | |
| 249 match.relevance = std::min(kMaxBookmarkScore, match.relevance); | |
| 250 return match; | |
| 251 } | |
| 252 | |
| 253 // static | |
| 254 ACMatchClassifications BookmarkProvider::ClassificationsFromMatch( | |
| 255 const Snippet::MatchPositions& positions, | |
| 256 size_t text_length) { | |
| 257 ACMatchClassifications classifications; | |
| 258 if (positions.empty()) { | |
| 259 classifications.push_back( | |
| 260 ACMatchClassification(0, ACMatchClassification::NONE)); | |
| 261 return classifications; | |
| 262 } | |
| 263 | |
| 264 for (Snippet::MatchPositions::const_iterator i = positions.begin(); | |
| 265 i != positions.end(); ++i) { | |
| 266 AutocompleteMatch::ACMatchClassifications new_class; | |
| 267 AutocompleteMatch::ClassifyLocationInString(i->first, i->second - i->first, | |
| 268 text_length, 0, &new_class); | |
| 269 classifications = AutocompleteMatch::MergeClassifications( | |
| 270 classifications, new_class); | |
| 271 } | |
| 272 return classifications; | |
| 273 } | |
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