Leveraging popular destinations to enhance Web search interaction Export

@article{citeulike:2972557, abstract = {This article presents a novel Web search interaction feature that for a given query provides links to Web sites frequently visited by other users with similar information needs. These popular destinations complement traditional search results, allowing direct navigation to authoritative resources for the query topic. Destinations are identified using the history of the search and browsing behavior of many users over an extended time period, and their collective behavior provides a basis for computing source authority. They are drawn from the end of users' postquery browse trails where users may cease searching once they find relevant information. We describe a user study that compared the suggestion of destinations with the previously proposed suggestion of related queries as well as with traditional, unaided Web search. Results show that search enhanced by query suggestions outperforms other systems in terms of subject perceptions and search effectiveness for fact-finding search tasks. However, search enhanced by destination suggestions performs best for exploratory tasks with its best performance obtained from mining past user behavior at query-level granularity. We discuss the implications of these and other findings from our study for the design of search systems that utilize user behavior, in particular, user browse trails and popular destinations.}, address = {New York, NY, USA}, author = {White, Ryen W. and Bilenko, Mikhail and Cucerzan, Silviu}, citeulike-article-id = {2972557}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1377488.1377490}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1377488.1377490}, doi = {10.1145/1377488.1377490}, issn = {1559-1131}, journal = {ACM Trans. Web}, keywords = {adaptive-search, social-search, www-search}, month = {July}, number = {3}, pages = {1--30}, posted-at = {2009-07-24 23:15:27}, priority = {2}, publisher = {ACM}, title = {Leveraging popular destinations to enhance Web search interaction}, url = {http://dx.doi.org/10.1145/1377488.1377490}, volume = {2}, year = {2008} }

TY - JOUR ID - citeulike:2972557 L3 - citeulike-article-id:2972557 N2 - This article presents a novel Web search interaction feature that for a given query provides links to Web sites frequently visited by other users with similar information needs. These popular destinations complement traditional search results, allowing direct navigation to authoritative resources for the query topic. Destinations are identified using the history of the search and browsing behavior of many users over an extended time period, and their collective behavior provides a basis for computing source authority. They are drawn from the end of users' postquery browse trails where users may cease searching once they find relevant information. We describe a user study that compared the suggestion of destinations with the previously proposed suggestion of related queries as well as with traditional, unaided Web search. Results show that search enhanced by query suggestions outperforms other systems in terms of subject perceptions and search effectiveness for fact-finding search tasks. However, search enhanced by destination suggestions performs best for exploratory tasks with its best performance obtained from mining past user behavior at query-level granularity. We discuss the implications of these and other findings from our study for the design of search systems that utilize user behavior, in particular, user browse trails and popular destinations. IS - 3 JF - ACM Trans. Web SN - 1559-1131 AD - New York, NY, USA EP - 30 TI - Leveraging popular destinations to enhance Web search interaction PB - ACM VL - 2 SP - 1 KW - adaptive-search KW - social-search KW - www-search AU - White, Ryen AU - Bilenko, Mikhail AU - Cucerzan, Silviu PY - 2008/07// UR - http://dx.doi.org/10.1145/1377488.1377490 ER -