Improving personalized web search using result diversification
F. Radlinski, und S. Dumais. SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, Seite 691--692. New York, NY, USA, ACM, (2006)
DOI: http://doi.acm.org/10.1145/1148170.1148320
Zusammenfassung
We present and evaluate methods for diversifying search results to improve personalized web search. A common personalization approach involves reranking the top N search results such that documents likely to be preferred by the user are presented higher. The usefulness of reranking is limited in part by the number and diversity of results considered. We propose three methods to increase the diversity of the top results and evaluate the effectiveness of these methods.
Beschreibung
Improving personalized web search using result diversification
%0 Conference Paper
%1 Radlinski06
%A Radlinski, Filip
%A Dumais, Susan
%B SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
%C New York, NY, USA
%D 2006
%I ACM
%K WebSearch diversification personalization
%P 691--692
%R http://doi.acm.org/10.1145/1148170.1148320
%T Improving personalized web search using result diversification
%U http://portal.acm.org/citation.cfm?id=1148320
%X We present and evaluate methods for diversifying search results to improve personalized web search. A common personalization approach involves reranking the top N search results such that documents likely to be preferred by the user are presented higher. The usefulness of reranking is limited in part by the number and diversity of results considered. We propose three methods to increase the diversity of the top results and evaluate the effectiveness of these methods.
%@ 1-59593-369-7
@inproceedings{Radlinski06,
abstract = {We present and evaluate methods for diversifying search results to improve personalized web search. A common personalization approach involves reranking the top N search results such that documents likely to be preferred by the user are presented higher. The usefulness of reranking is limited in part by the number and diversity of results considered. We propose three methods to increase the diversity of the top results and evaluate the effectiveness of these methods.},
added-at = {2009-01-31T13:08:45.000+0100},
address = {New York, NY, USA},
author = {Radlinski, Filip and Dumais, Susan},
biburl = {https://www.bibsonomy.org/bibtex/2c96b5ab1db6bd4253f167eb8e009d7b8/mkroell},
booktitle = {SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval},
description = {Improving personalized web search using result diversification},
doi = {http://doi.acm.org/10.1145/1148170.1148320},
interhash = {6832cad2139e6bdffb15f8d9d715337e},
intrahash = {c96b5ab1db6bd4253f167eb8e009d7b8},
isbn = {1-59593-369-7},
keywords = {WebSearch diversification personalization},
location = {Seattle, Washington, USA},
pages = {691--692},
publisher = {ACM},
timestamp = {2009-01-31T13:08:45.000+0100},
title = {Improving personalized web search using result diversification},
url = {http://portal.acm.org/citation.cfm?id=1148320},
year = 2006
}