In this paper we consider the problem of item recommendation in collaborative tagging communities, so called folksonomies, where users annotate interesting items with tags. Rather than following a collaborative filtering or annotation-based approach to recommendation, we extend the probabilistic latent semantic analysis (PLSA) approach and present a unified recommendation model which evolves from item user and item tag co-occurrences in parallel. The inclusion of tags reduces known collaborative filtering problems related to overfitting and allows for higher quality recommendations. Experimental results on a large snapshot of the delicious bookmarking service show the scalability of our approach and an improved recommendation quality compared to two-mode collaborative or annotation based methods.
Description
A hybrid approach to item recommendation in folksonomies
%0 Conference Paper
%1 Wetzker09itemRecommendation
%A Wetzker, Robert
%A Umbrath, Winfried
%A Said, Alan
%B ESAIR '09: Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval
%C New York, NY, USA
%D 2009
%I ACM
%K 09 Wetzker folksonomy item recommendation
%P 25--29
%R http://doi.acm.org/10.1145/1506250.1506255
%T A hybrid approach to item recommendation in folksonomies
%U http://portal.acm.org/citation.cfm?id=1506255
%X In this paper we consider the problem of item recommendation in collaborative tagging communities, so called folksonomies, where users annotate interesting items with tags. Rather than following a collaborative filtering or annotation-based approach to recommendation, we extend the probabilistic latent semantic analysis (PLSA) approach and present a unified recommendation model which evolves from item user and item tag co-occurrences in parallel. The inclusion of tags reduces known collaborative filtering problems related to overfitting and allows for higher quality recommendations. Experimental results on a large snapshot of the delicious bookmarking service show the scalability of our approach and an improved recommendation quality compared to two-mode collaborative or annotation based methods.
%@ 978-1-60558-430-0
@inproceedings{Wetzker09itemRecommendation,
abstract = {In this paper we consider the problem of item recommendation in collaborative tagging communities, so called folksonomies, where users annotate interesting items with tags. Rather than following a collaborative filtering or annotation-based approach to recommendation, we extend the probabilistic latent semantic analysis (PLSA) approach and present a unified recommendation model which evolves from item user and item tag co-occurrences in parallel. The inclusion of tags reduces known collaborative filtering problems related to overfitting and allows for higher quality recommendations. Experimental results on a large snapshot of the delicious bookmarking service show the scalability of our approach and an improved recommendation quality compared to two-mode collaborative or annotation based methods.},
added-at = {2009-09-15T02:24:35.000+0200},
address = {New York, NY, USA},
author = {Wetzker, Robert and Umbrath, Winfried and Said, Alan},
biburl = {https://www.bibsonomy.org/bibtex/2c1397d5b1bf9d8305aecbb9133bdce2c/lee_peck},
booktitle = {ESAIR '09: Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval},
description = {A hybrid approach to item recommendation in folksonomies},
doi = {http://doi.acm.org/10.1145/1506250.1506255},
interhash = {5a4e686feaa38748f7eac2c8a3afe51e},
intrahash = {c1397d5b1bf9d8305aecbb9133bdce2c},
isbn = {978-1-60558-430-0},
keywords = {09 Wetzker folksonomy item recommendation},
location = {Barcelona, Spain},
pages = {25--29},
publisher = {ACM},
timestamp = {2009-09-15T02:24:35.000+0200},
title = {A hybrid approach to item recommendation in folksonomies},
url = {http://portal.acm.org/citation.cfm?id=1506255},
year = 2009
}