Personalized Search Based on User Search Histories

User profiles, descriptions of user interests, can be used by search engines to provide personalized search results. Many approaches to creating user profiles collect user information through proxy servers (to capture browsing histories) or desktop bots (to capture activities on a personal computer)...

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Vydáno v:	IEEE/WIC/ACM International Conference on web intelligence s. 622 - 628
Hlavní autoři:	Speretta, Micro, Gauch, Susan
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	Washington, DC, USA IEEE Computer Society 01.01.2005 IEEE
Edice:	ACM Conferences
Témata:	History Information systems > Information retrieval Information systems > Information retrieval > Evaluation of retrieval results Information systems > Information retrieval > Users and interactive retrieval > Personalization Information systems > World Wide Web > Web searching and information discovery > Personalization
ISBN:	076952415X, 9780769524153
On-line přístup:	Získat plný text
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Popis
Shrnutí:	User profiles, descriptions of user interests, can be used by search engines to provide personalized search results. Many approaches to creating user profiles collect user information through proxy servers (to capture browsing histories) or desktop bots (to capture activities on a personal computer). Both these techniques require participation of the user to install the proxy server or the bot. In this study, we explore the use of a less-invasive means of gathering user information for personalized search. In particular, we build user profiles based on activity at the search site itself and study the use of these profiles to provide personalized search results. By implementing a wrapper around the Google [10] search engine, we were able to collect information about individual user search activities. In particular, we collected the queries for which at least one search result was examined, and the snippets (titles and summaries) for each examined result. User profiles were created by classifying the collected information (queries or snippets) into concepts in a reference concept hierarchy. These profiles were then used to re-rank the search results and the rank-order of the user-examined results before and after re-ranking were compared. Our study found that user profiles based on queries were as effective as those based on snippets. We also found that our personalized re-ranking resulted in a 34% improvement in the rank-order of the user-selected results.
Bibliografie:	SourceType-Conference Papers & Proceedings-1 ObjectType-Conference Paper-1 content type line 25
ISBN:	076952415X 9780769524153
DOI:	10.1109/WI.2005.114