A hybrid approach to item recommendation in folksonomies
R. Wetzker, W. Umbrath, and A. Said. Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval, page 25--29. New York, NY, USA, ACM, (2009)
DOI: 10.1145/1506250.1506255
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 <i>delicious</i> 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 wetzker2009hybrid
%A Wetzker, Robert
%A Umbrath, Winfried
%A Said, Alan
%B Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval
%C New York, NY, USA
%D 2009
%I ACM
%K folksonomy lsi recommendation resource
%P 25--29
%R 10.1145/1506250.1506255
%T A hybrid approach to item recommendation in folksonomies
%U http://doi.acm.org/10.1145/1506250.1506255
%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 <i>delicious</i> 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{wetzker2009hybrid,
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 <i>delicious</i> bookmarking service show the scalability of our approach and an improved recommendation quality compared to two-mode collaborative or annotation based methods.},
acmid = {1506255},
added-at = {2011-12-06T20:56:06.000+0100},
address = {New York, NY, USA},
author = {Wetzker, Robert and Umbrath, Winfried and Said, Alan},
biburl = {https://www.bibsonomy.org/bibtex/2733e1968baace40173bd30486b49a8f0/beate},
booktitle = {Proceedings of the WSDM '09 Workshop on Exploiting Semantic Annotations in Information Retrieval},
description = {A hybrid approach to item recommendation in folksonomies},
doi = {10.1145/1506250.1506255},
interhash = {5a4e686feaa38748f7eac2c8a3afe51e},
intrahash = {733e1968baace40173bd30486b49a8f0},
isbn = {978-1-60558-430-0},
keywords = {folksonomy lsi recommendation resource},
location = {Barcelona, Spain},
numpages = {5},
pages = {25--29},
publisher = {ACM},
series = {ESAIR '09},
timestamp = {2011-12-06T20:56:06.000+0100},
title = {A hybrid approach to item recommendation in folksonomies},
url = {http://doi.acm.org/10.1145/1506250.1506255},
year = 2009
}