Details
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 15th ACM Conference on Information and Knowledge Management, CIKM 2006 |
| Publisher | Association for Computing Machinery (ACM) |
| Pages | 287-296 |
| Number of pages | 10 |
| ISBN (print) | 1595934332, 9781595934338 |
| Publication status | Published - 6 Nov 2006 |
| Event | 15th ACM Conference on Information and Knowledge Management, CIKM 2006 - Arlington, VA, United States Duration: 6 Nov 2006 → 11 Nov 2006 |
Publication series
| Name | International Conference on Information and Knowledge Management, Proceedings |
|---|
Abstract
The PC Desktop is a very rich repository of personal information, efficiently capturing user's interests. In this paper we propose a new approach towards an automatic personalization of web search in which the user specific information is extracted from such local desktops, thus allowing for an increased quality of user profiling, while sharing less private information with the search engine. More specifically, we investigate the opportunities to select personalized query expansion terms for web search using three different desktop oriented approaches: summarizing the entire desktop data, summarizing only the desktop documents relevant to each user query, and applying natural language processing techniques to extract dispersive lexical compounds from relevant desktop resources. Our experiments with the Google API showed at least the latter two techniques to produce a very strong improvement over current web search.
Keywords
- Desktop summarization, Personalized web search, Relevance feedback, User profile
ASJC Scopus subject areas
- Decision Sciences(all)
- General Decision Sciences
- Business, Management and Accounting(all)
- General Business,Management and Accounting
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Proceedings of the 15th ACM Conference on Information and Knowledge Management, CIKM 2006. Association for Computing Machinery (ACM), 2006. p. 287-296 (International Conference on Information and Knowledge Management, Proceedings).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Summarizing local context to personalize global web search
AU - Chirita, Paul Alexandru
AU - Firan, Claudiu S.
AU - Nejdl, Wolfgang
PY - 2006/11/6
Y1 - 2006/11/6
N2 - The PC Desktop is a very rich repository of personal information, efficiently capturing user's interests. In this paper we propose a new approach towards an automatic personalization of web search in which the user specific information is extracted from such local desktops, thus allowing for an increased quality of user profiling, while sharing less private information with the search engine. More specifically, we investigate the opportunities to select personalized query expansion terms for web search using three different desktop oriented approaches: summarizing the entire desktop data, summarizing only the desktop documents relevant to each user query, and applying natural language processing techniques to extract dispersive lexical compounds from relevant desktop resources. Our experiments with the Google API showed at least the latter two techniques to produce a very strong improvement over current web search.
AB - The PC Desktop is a very rich repository of personal information, efficiently capturing user's interests. In this paper we propose a new approach towards an automatic personalization of web search in which the user specific information is extracted from such local desktops, thus allowing for an increased quality of user profiling, while sharing less private information with the search engine. More specifically, we investigate the opportunities to select personalized query expansion terms for web search using three different desktop oriented approaches: summarizing the entire desktop data, summarizing only the desktop documents relevant to each user query, and applying natural language processing techniques to extract dispersive lexical compounds from relevant desktop resources. Our experiments with the Google API showed at least the latter two techniques to produce a very strong improvement over current web search.
KW - Desktop summarization
KW - Personalized web search
KW - Relevance feedback
KW - User profile
UR - http://www.scopus.com/inward/record.url?scp=34547634703&partnerID=8YFLogxK
U2 - 10.1145/1183614.1183658
DO - 10.1145/1183614.1183658
M3 - Conference contribution
AN - SCOPUS:34547634703
SN - 1595934332
SN - 9781595934338
T3 - International Conference on Information and Knowledge Management, Proceedings
SP - 287
EP - 296
BT - Proceedings of the 15th ACM Conference on Information and Knowledge Management, CIKM 2006
PB - Association for Computing Machinery (ACM)
T2 - 15th ACM Conference on Information and Knowledge Management, CIKM 2006
Y2 - 6 November 2006 through 11 November 2006
ER -