Abstract
Social bookmarking has been in the spotlight recently. Social bookmarking allows users to add several keywords called tags to items they bookmarked. Many previous works on social bookmarking using actual words for tags, called folksonomy, have come out. However, essential information of tags is in the classification of items by tags. Based on this assumption, we propose an anti-folksonomical recommendation system for calculating similarities between groups of items classified according to tags. In addition, we use hypothesis testing to improve these similarities based on statistical reliability. The experimental results show that our proposed system provides an appropriate recommendation result even if users tagged with different keywords.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Goldberg, D., Nichols, D., Oki, B.M., Terry, D.: Using collaborative filtering to weave an information tapestry. Communications of the ACM 35(12), 61–70 (2003)
Golder, S., Huberman, B.A.: The structure of collaborative tagging systems. Journal of Information Science (2005)
Gunduz, S., Ozsu, M.T.: A user interest model for web page navigation. In: Proceedings of International Workshop on Data Mining for Actionable Knowledge (2003)
Hotho, A., Jaschke, R., Schmitz, C., Stumme, G.: Information retrieval in folksonomies: Search and ranking. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 411–426. Springer, Heidelberg (2006)
Ishikawa, H., Nakajima, T., Mizuhara, T., Yokoyama, S., Nakayama, J., Ohta, M., Katayama, K.: An intelligent web recommendation system: A web usage mining approach. In: Hacid, M.-S., Raś, Z.W., Zighed, D.A., Kodratoff, Y. (eds.) ISMIS 2002. LNCS (LNAI), vol. 2366, pp. 342–350. Springer, Heidelberg (2002)
Jaschke, R., Marinho, L.B., Hotho, A., Schmidt-Thieme, L., Stumme, G.: Tag recommendations in folksonomies. In: Kok, J.N., Koronacki, J., Lopez de Mantaras, R., Matwin, S., Mladenič, D., Skowron, A. (eds.) PKDD 2007. LNCS (LNAI), vol. 4702, pp. 506–514. Springer, Heidelberg (2007)
Kazienko, P., Kiewra, M.: Integration of relational databases and web site content for product and page recommendation. In: International Database Engineering and Applications Symposium, IDEAS 2004 (2004)
Li, J., Zaiane, O.R.: Combining usage, content, and structure data to improve web site recommendation. In: Proceedings of Web KDD 2004 workshop on Web Mining and Web Usage (2004)
Mika, P.: Ontologies are us: a unified model of social networks and semantics. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 122–136. Springer, Heidelberg (2005)
Niwa, S., Doi, T., Honiden, S.: Web page recommender system based on folksonomy mining. In: Proceedings of the Third International Conference on Information Technology: New Generations, ITNG 2006 (2006)
Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., Riedl, J.: Grouplens: An open architecture for collaborative filtering of netnews. In: Proceedings of the 1994 Computer Supported Cooperative Work Conference, pp. 175–186 (1994)
Rucker, J., Polanco, M.J.: Siteseer: Personalized navigation for the web. Communications of the ACM 40(3), 73–75 (1997)
Sarwar, B.M., Karypis, G., Konstan, J.A., Riedl, J.: Item-based collaborative filtering recommendation algorithms. In: Proceedings of the 10th International World Wide Web Conference (WWW10), pp. 285–295 (2001)
Yanbe, Y., Jatowt, A., Nakamura, S., Tanaka, K.: Can social bookmarking enhance search in the web? In: Proceedings of the 7th ACM/IEEE-CS joint conference on Digital libraries (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sasaki, A., Miyata, T., Inazumi, Y., Kobayashi, A., Sakai, Y. (2010). Anti-folksonomical Recommender System for Social Bookmarking Service. In: Cordeiro, J., Filipe, J. (eds) Web Information Systems and Technologies. WEBIST 2009. Lecture Notes in Business Information Processing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12436-5_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-12436-5_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-12435-8
Online ISBN: 978-3-642-12436-5
eBook Packages: Computer ScienceComputer Science (R0)