Fabian Abel
Matteo Baldoni
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.
- ]]F. Abel, M. Frank, N. Henze, D. Krause, D. Plappert, and P. Siehndel. GroupMe! - Where Semantic Web meets Web 2.0. In Int. Semantic Web Conference (ISWC 2007), November 2007. Google Scholar
Digital Library
- ]]F. Abel, N. Henze, and D. Krause. Exploiting additional Context for Graph-based Tag Recommendations in Folksonomy Systems. In Int. Conf. on Web Intelligence and Intelligent Agent Technology. ACM Press, December 2008. Google ScholarDigital Library
- ]]F. Abel, N. Henze, and D. Krause. A Novel Approach to Social Tagging: GroupMe! In 4th Int. Conf. on Web Information Systems and Technologies (WEBIST), May 2008.Google Scholar
- ]]F. Abel, N. Henze, D. Krause, and M. Kriesell. On the effect of group structures on ranking strategies in folksonomies. In R. Baeza-Yates and I. King, editors, Weaving Services, Location, and People on the WWW. Springer, to appear.Google Scholar
- ]]S. Bao, G. Xue, X. Wu, Y. Yu, B. Fei, and Z. Su. Optimizing Web Search using Social Annotations. In Proc. of 16th Int. World Wide Web Conference (WWW '07), pages 501--510. ACM Press, 2007. Google ScholarDigital Library
- ]]A. Byde, H. Wan, and S. Cayzer. Personalized tag recommendations via tagging and content-based similarity metrics. In Proc. of the Int. Conf. on Weblogs and Social Media (ICWSM), March 2007.Google Scholar
- ]]P.A. Chirita, C. Firan, and W. Nejdl. Personalized Query Expansion for the Web. In Proceedings of the 30th Int. ACM SIGIR conference on Research and Development in Information Retrieval (SIGIR '07), pages 7--14, New York, USA. ACM, 2007. Google ScholarDigital Library
- ]]K. Dellschaft and S. Staab. An epistemic dynamic model for tagging systems. In P. Brusilovsky and H. C. Davis, editors, Hypertext, pages 71--80. ACM, 2008. Google ScholarDigital Library
- ]]C. S. Firan, W. Nejdl, and R. Paiu. The Benefit of Using Tag-based Profiles. In Proc. of the 2007 Latin American Web Conference (LA-WEB 2007), pages 32--41, Washington, DC, USA, 2007. IEEE Computer Society. Google ScholarDigital Library
- ]]H. Halpin, V. Robu, and H. Shepherd. The Complex Dynamics of Collaborative Tagging. In Proc. of 16th Int. World Wide Web Conference (WWW '07), pages 211--220, New York, NY, USA. ACM Press, 2007. Google ScholarDigital Library
- ]]A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. BibSonomy: A Social Bookmark and Publication Sharing System. In Proc. First Conceptual Structures Tool Interoperability Workshop, pages 87--102, Aalborg, 2006.Google Scholar
- ]]A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. Emergent Semantics in BibSonomy.In C. Hochberger and R. Liskowsky, editors, Informatik 2006: Informatik fÜr Menschen, volume 94(2) of LNI, Bonn. GI, October 2006.Google Scholar
- ]]A. Hotho, R. Jäschke, C. Schmitz, and G. Stumme. FolkRank: A Ranking Algorithm for Folksonomies. In Proc. of Workshop on Information Retrieval (FGIR), Germany, 2006.Google Scholar
- ]]R. Jäschke, L. B. Marinho, A. Hotho, L. Schmidt-Thieme, and G. Stumme. Tag recommendations in folksonomies. In Proc. 11th Europ. Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD), pages 506--514, 2007.Google ScholarDigital Library
- ]]M.-C. Kim and K.-S. Choi. A Comparison of Collocation-based Similarity Measures in Query Expansion. Information Processing and Management, 35(1):19--30, 1999. Google ScholarDigital Library
- ]]J. M. Kleinberg. Authoritative sources in a hyperlinked environment. Journal of the ACM, 46(5):604--632, 1999. Google ScholarDigital Library
- ]]X. Li, L. Guo, and Y. E. Zhao. Tag-based social interest discovery. In Proc. of the 17th Int. World Wide Web Conference (WWW'08), pages 675--684. ACM Press, 2008. Google ScholarDigital Library
- ]]C. Marlow, M. Naaman, D. Boyd, and M. Davis. HT06, tagging paper, taxonomy, flickr, academic article, to read. In Proc. of the 17th Conf. on Hypertext and Hypermedia, pages 31--40. ACM Press, 2006. Google ScholarDigital Library
- ]]C. Marlow, M. Naaman, D. Boyd, and M. Davis. Position Paper, Tagging, Taxonomy, Flickr, Article, ToRead. In Collaborative Web Tagging Workshop at WWW '06, May 2006.Google Scholar
- ]]T. Vander Wal. Folksonomy. http://vanderwal.net/folksonomy.html, July 2007.Google Scholar
- ]]E. Michlmayr and S. Cayzer. Learning User Profiles from Tagging Data and Leveraging them for Personal(ized) Information Access. In Proc. of the Workshop on Tagging and Metadata for Social Information Organization, 16th Int. World Wide Web Conference (WWW '07), May 2007.Google Scholar
- ]]P. Mika. Ontologies Are Us: A unified model of social networks and semantics. In Proc. Int. Semantic Web Conference (ISWC 2005), pages 522--536, November 2005. Google ScholarDigital Library
- ]]A. Nauerz and G. Groh. Implicit social network constructuon and expert user determination in web portals. In AAAI Spring Symposium on Social Information Processing, pages 60--65. Stanford University, AAAI Press, 2008.Google Scholar
- ]]L. Page, S. Brin, R. Motwani, and T. Winograd. The PageRank Citation Ranking: Bringing Order to the Web. Technical report, Stanford Digital Library Technologies Project, 1998.Google Scholar
- ]]T. Rattenbury, N. Good, and M. Naaman. Towards automatic extraction of event and place semantics from Flickr tags. In Proc. of the 30th Int. ACM SIGIR Conf. on Information Retrieval (SIRIR '07), pages 103--110, New York, NY, USA. ACM Press, 2007. Google ScholarDigital Library
- ]]B. Sigurbjörnsson and R. van Zwol. Flickr tag recommendation based on collective knowledge. In Proc. of 17th Int. World Wide Web Conference (WWW '08), pages 327--336. ACM Press, 2008. Google ScholarDigital Library
- ]]H. Wu, M. Zubair, and K. Maly. Harvesting social knowledge from folksonomies. In Proceedings of the 17th Conference on Hypertext and Hypermedia (HT '06), pages 111--114, New York, NY, USA. ACM Press, 2006. Google ScholarDigital Library
Index Terms
- Context-based ranking in folksonomies
Recommendations
Ranking in folksonomy systems: can context help?
CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge managementFolksonomy systems have shown to contribute to the quality of Web search ranking strategies. In this paper, we analyze and compare different graph-based ranking algorithms, namely FolkRank, SocialPageRank, and SocialSimRank. We enhance these algorithms ...
The benefit of additional semantics in folksonomy systems
PIKM '08: Proceedings of the 2nd PhD workshop on Information and knowledge managementWith the advent of Web 2.0 folksonomy systems like Flickr, del.icio.us, etc. have become very popular. They enable users to annotate resources (images, websites, etc.) with freely chosen keywords, so-called tags. The evolving set of such tag assignments,...
Leveraging multi-faceted tagging to improve search in folksonomy systems
HT '10: Proceedings of the 21st ACM conference on Hypertext and hypermediaIn this paper we present ranking algorithms for folksonomy systems that exploit additional contextual information attached to tag assignments available. We evaluate the algorithms in the TagMe! system, a tagging front-end for Flickr, and show that our ...
Comments