Context-based ranking in folksonomies Export

@inproceedings{citeulike:5030985, abstract = {With the advent of Web 2.0 tagging became a popular feature. People tag diverse kinds of content, e.g. products at Amazon, music at Last.fm, images at Flickr, etc. Clicking on a tag enables the users to explore related content. In this paper we investigate how such tag-based queries, initialized by the clicking activity, can be enhanced with automatically produced contextual information so that the search result better fits to the actual aims of the user. We introduce the SocialHITS algorithm and present an experiment where we compare different algorithms for ranking users, tags, and resources in a contextualized way.}, address = {New York, NY, USA}, author = {Abel, Fabian and Baldoni, Matteo and Baroglio, Cristina and Henze, Nicola and Krause, Daniel and Patti, Viviana}, booktitle = {HT '09: Proceedings of the 20th ACM conference on Hypertext and hypermedia}, citeulike-article-id = {5030985}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1557914.1557951}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1557914.1557951}, doi = {10.1145/1557914.1557951}, isbn = {978-1-60558-486-7}, keywords = {dlpaws, dppaws, ht09, japaws, ranking, tagging, user-profile}, location = {Torino, Italy}, pages = {209--218}, posted-at = {2009-07-01 08:44:17}, priority = {3}, publisher = {ACM}, title = {Context-based ranking in folksonomies}, url = {http://dx.doi.org/10.1145/1557914.1557951}, year = {2009} }

TY - CONF ID - citeulike:5030985 L3 - citeulike-article-id:5030985 N2 - With the advent of Web 2.0 tagging became a popular feature. People tag diverse kinds of content, e.g. products at Amazon, music at Last.fm, images at Flickr, etc. Clicking on a tag enables the users to explore related content. In this paper we investigate how such tag-based queries, initialized by the clicking activity, can be enhanced with automatically produced contextual information so that the search result better fits to the actual aims of the user. We introduce the SocialHITS algorithm and present an experiment where we compare different algorithms for ranking users, tags, and resources in a contextualized way. CY - Torino, Italy SN - 978-1-60558-486-7 AD - New York, NY, USA EP - 218 TI - Context-based ranking in folksonomies PB - ACM T2 - HT '09: Proceedings of the 20th ACM conference on Hypertext and hypermedia SP - 209 KW - dlpaws KW - dppaws KW - ht09 KW - japaws KW - ranking KW - tagging KW - user-profile AU - Abel, Fabian AU - Baldoni, Matteo AU - Baroglio, Cristina AU - Henze, Nicola AU - Krause, Daniel AU - Patti, Viviana PY - 2009/// UR - http://dx.doi.org/10.1145/1557914.1557951 ER -