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-rw-r--r--background_scripts/completion.coffee8
1 files changed, 4 insertions, 4 deletions
diff --git a/background_scripts/completion.coffee b/background_scripts/completion.coffee
index e76139c2..33d8a563 100644
--- a/background_scripts/completion.coffee
+++ b/background_scripts/completion.coffee
@@ -353,6 +353,8 @@ class SearchEngineCompleter
suggestions.push @mkSuggestion null, queryTerms, type, mkUrl(query), title, @computeRelevancy, 1
suggestions[0].autoSelect = true
queryTerms = queryTerms[1..]
+ else
+ query = queryTerms.join " "
if queryTerms.length == 0
return onComplete suggestions
@@ -367,13 +369,11 @@ class SearchEngineCompleter
# relevancy). We assume that the completion engine has already factored that in. Also, completion
# engines often handle spelling mistakes, in which case we wouldn't find the query terms in the
# suggestion anyway.
- # - The score is based on the length of the last query term. The idea is that the user is already
- # happy with the earlier terms.
- # - The score is higher if the last query term is longer. The idea is that search suggestions are more
+ # - The score is higher if the query term is longer. The idea is that search suggestions are more
# likely to be relevant if, after typing some number of characters, the user hasn't yet found
# a useful suggestion from another completer.
# - Scores are weighted such that they retain the order provided by the completion engine.
- characterCount = queryTerms[queryTerms.length - 1].length
+ characterCount = query.length - queryTerms.length + 1
score = 0.6 * (Math.min(characterCount, 10.0)/10.0)
if 0 < existingSuggestions.length