Studying the use of popular destinations to enhance web search interaction
作者： Ryen W. White , Mikhail Bilenko , Silviu Cucerzan
关键词: Search analytics 、 Search engine 、 Semantic search 、 Information retrieval 、 Information needs 、 Destinations 、 Computer science 、 Web search query 、 Web query classification 、 World Wide Web
摘要: We present a novel Web search interaction feature which, for given query, provides links to websites frequently visited by other users with similar information needs. These popular destinations complement traditional results, allowing direct navigation authoritative resources the query topic. Destinations are identified using history of and browsing behavior many over an extended time period, whose collective basis computing source authority. describe user study which compared suggestion previously proposed related queries, as well traditional, unaided search. Results show that enhanced destination suggestions outperforms systems exploratory tasks, best performance obtained from mining past at query-level granularity.
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