Web search personalization via social bookmarking and tagging
M. Noll, and C. Meinel. Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea, volume 4825 of LNCS, page 365--378. Berlin, Heidelberg, Springer Verlag, (November 2007)
Abstract
In this paper, we present a new approach to web search personalization
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.
%0 Conference Paper
%1 NoMe07
%A Noll, Michael
%A Meinel, Christoph
%B Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea
%C Berlin, Heidelberg
%D 2007
%E Aberer, Karl
%E Choi, Key-Sun
%E Noy, Natasha
%E Allemang, Dean
%E Lee, Kyung-Il
%E Nixon, Lyndon J B
%E Golbeck, Jennifer
%E Mika, Peter
%E Maynard, Diana
%E Schreiber, Guus
%E Cudré-Mauroux, Philippe
%I Springer Verlag
%K personalization
%P 365--378
%T Web search personalization via social bookmarking and tagging
%U http://iswc2007.semanticweb.org/papers/365.pdf
%V 4825
%X In this paper, we present a new approach to web search personalization
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.
@inproceedings{NoMe07,
abstract = {In this paper, we present a new approach to web search personalization
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 = {2008-09-11T00:04:13.000+0200},
address = {Berlin, Heidelberg},
author = {Noll, Michael and Meinel, Christoph},
biburl = {https://www.bibsonomy.org/bibtex/252943a6298169f5a552bffbbee352937/deynard},
booktitle = {Proceedings of the 6th International Semantic Web Conference and 2nd Asian Semantic Web Conference (ISWC/ASWC2007), Busan, South Korea},
editor = {Aberer, Karl and Choi, Key-Sun and Noy, Natasha and Allemang, Dean and Lee, Kyung-Il and Nixon, Lyndon J B and Golbeck, Jennifer and Mika, Peter and Maynard, Diana and Schreiber, Guus and Cudré-Mauroux, Philippe},
interhash = {8c1f9db1455effa2cdf949c0191a31d2},
intrahash = {52943a6298169f5a552bffbbee352937},
keywords = {personalization},
month = {November},
owner = {michael},
pages = {365--378},
publisher = {Springer Verlag},
series = {LNCS},
timestamp = {2008-09-11T00:04:13.000+0200},
title = {Web search personalization via social bookmarking and tagging},
url = {http://iswc2007.semanticweb.org/papers/365.pdf},
volume = 4825,
year = 2007
}