%0 Conference Paper %1 conf/semweb/NollM07 %A Noll, Michael G. %A Meinel, Christoph %B ISWC/ASWC %D 2007 %E Aberer, Karl %E Choi, Key-Sun %E Noy, Natasha Fridman %E Allemang, Dean %E Lee, Kyung-Il %E Nixon, Lyndon J. B. %E Golbeck, Jennifer %E Mika, Peter %E Maynard, Diana %E Mizoguchi, Riichiro %E Schreiber, Guus %E Cudré-Mauroux, Philippe %I Springer %K folksonomy read use %P 367--380 %T Web Search Personalization Via Social Bookmarking and Tagging. %U http://dblp.uni-trier.de/db/conf/semweb/iswc2007.html\#NollM07NewValue0 %V 4825 %X Abstract. In this paper, we present a new approach to web search per- sonalization based on user collaboration and sharing of information about web documents. The proposed personalization technique separates data collection and user profiling from the information system whose contents and indexed documents are being searched for, i.e. the search engines, and uses social bookmarking and tagging to re-rank web search results. It is independent of the search engine being used, so users are free to choose the one they prefer, even if their favorite search engine does not natively support personalization. We show how to design and implement such a system in practice and investigate its feasibility and usefulness with large sets of real-word data and a user study. %@ 978-3-540-76297-3

@inproceedings{conf/semweb/NollM07, abstract = {Abstract. In this paper, we present a new approach to web search per- sonalization based on user collaboration and sharing of information about web documents. The proposed personalization technique separates data collection and user profiling from the information system whose contents and indexed documents are being searched for, i.e. the search engines, and uses social bookmarking and tagging to re-rank web search results. It is independent of the search engine being used, so users are free to choose the one they prefer, even if their favorite search engine does not natively support personalization. We show how to design and implement such a system in practice and investigate its feasibility and usefulness with large sets of real-word data and a user study.}, added-at = {2008-04-07T10:14:08.000+0200}, author = {Noll, Michael G. and Meinel, Christoph}, biburl = {https://www.bibsonomy.org/bibtex/22b39e352f176c9d8630e72d20c599ea0/enterldestodes}, booktitle = {ISWC/ASWC}, crossref = {conf/semweb/2007}, date = {2007-10-29}, description = {dblp}, editor = {Aberer, Karl and Choi, Key-Sun and Noy, Natasha Fridman and Allemang, Dean and Lee, Kyung-Il and Nixon, Lyndon J. B. and Golbeck, Jennifer and Mika, Peter and Maynard, Diana and Mizoguchi, Riichiro and Schreiber, Guus and Cudr{\'e}-Mauroux, Philippe}, ee = {http://dx.doi.org/10.1007/978-3-540-76298-0_27}, interhash = {8c1f9db1455effa2cdf949c0191a31d2}, intrahash = {2b39e352f176c9d8630e72d20c599ea0}, isbn = {978-3-540-76297-3}, keywords = {folksonomy read use}, note = {touse}, pages = {367--380}, publisher = {Springer}, review = {- can work as a basis for calculating likeness of users and documents --> for tagging stuff - read: 08-04}, series = {Lecture Notes in Computer Science}, timestamp = {2008-04-07T10:15:19.000+0200}, title = {Web Search Personalization Via Social Bookmarking and Tagging.}, url = {http://dblp.uni-trier.de/db/conf/semweb/iswc2007.html\#NollM07NewValue0}, volume = 4825, year = 2007 }