Making recommendations for social media presents special challenges. As tagging becomes common practice at many social media sites, this research proposes a new approach to user profiling based on the tags associated with one's personal collection of contents. To utilize the social interaction implied by tagging, a personal profile can be further extended with the tags specified by one's social contacts. A tag-to-tag matrix is defined to enable collaborative filtering-style recommendations without explicit user ratings. Experiments with collections of bookmarks and the associated tags from 42,463 users are presented and compared using the different views.
%0 Conference Proceedings
%1 citeulike:4652818
%A Hung, Chia-Chuan
%A Huang, Yi-Ching
%A Hsu, Jane Y.
%A Wu, David K.
%B Workshop on Intelligent Techniques for Web Personalization and Recommender Systems, AAAI 2008
%D 2008
%K dlpaws dppaws en recommender tagging
%T Tag-based User Profiling for Social Media Recommendation
%U http://www.aaai.org/Papers/Workshops/2008/WS-08-06/WS08-06-006.pdf
%X Making recommendations for social media presents special challenges. As tagging becomes common practice at many social media sites, this research proposes a new approach to user profiling based on the tags associated with one's personal collection of contents. To utilize the social interaction implied by tagging, a personal profile can be further extended with the tags specified by one's social contacts. A tag-to-tag matrix is defined to enable collaborative filtering-style recommendations without explicit user ratings. Experiments with collections of bookmarks and the associated tags from 42,463 users are presented and compared using the different views.
@proceedings{citeulike:4652818,
abstract = {{Making recommendations for social media presents special challenges. As tagging becomes common practice at many social media sites, this research proposes a new approach to user profiling based on the tags associated with one's personal collection of contents. To utilize the social interaction implied by tagging, a personal profile can be further extended with the tags specified by one's social contacts. A tag-to-tag matrix is defined to enable collaborative filtering-style recommendations without explicit user ratings. Experiments with collections of bookmarks and the associated tags from 42,463 users are presented and compared using the different views.}},
added-at = {2018-03-19T12:24:51.000+0100},
author = {Hung, Chia-Chuan and Huang, Yi-Ching and Hsu, Jane Y. and Wu, David K.},
biburl = {https://www.bibsonomy.org/bibtex/21ed572af39348de55eab5b4639520a73/aho},
booktitle = {Workshop on Intelligent Techniques for Web Personalization and Recommender Systems, AAAI 2008},
citeulike-article-id = {4652818},
citeulike-linkout-0 = {http://www.aaai.org/Papers/Workshops/2008/WS-08-06/WS08-06-006.pdf},
citeulike-linkout-1 = {http://www.aaai.org/Library/Workshops/2008/ws08-06-006.php},
interhash = {699213a48bbee1c9287589021e9c588f},
intrahash = {1ed572af39348de55eab5b4639520a73},
keywords = {dlpaws dppaws en recommender tagging},
posted-at = {2009-07-14 02:09:58},
priority = {2},
timestamp = {2018-03-19T12:24:51.000+0100},
title = {{Tag-based User Profiling for Social Media Recommendation}},
url = {http://www.aaai.org/Papers/Workshops/2008/WS-08-06/WS08-06-006.pdf},
year = 2008
}