Matching Resources in Social Environment

Amel Benna, Hakima Mellah, Islam Choui, Ali Oualid

Abstract

User comments on the web are becoming more and more important. We focus, in this paper, on the use of user-defined tags for annotating resources to identify links between them. These links are based on a social context of the resource, obtained by applying k-means classification method and a hierarchical classification of tags within a cluster. The resources are re-assigned to this classification to facilitate the search process. The ranking of results is performed according to their degree of relevance, by evaluating a similarity score between the tagged contents, in hierarchical clusters of tags, and the user request. The results of the evaluation, on the social bookmarking system del.icio.us, demonstrate significant improvements over traditional approaches.

References

  1. Golder, S., Huberman, A. B.: The Structure of Collaborative Tagging Systems, CoRR abs/cs/0508082. 18 August 2005.
  2. Kirsch, S.M., Melanie, G., Cremers B. A.: Beyond the Web: Retrieval in Social Information Spaces,.In Advances in Information Retrieval. London, UK : Springer, Lecture Notes in Computer Science,2006, Vol. 3936, 84-95.
  3. Zanardi,V., Capra,L.: Social Ranking: Uncovering Relevant Content Using Tag-based Recommender Systems, RecSys'08, 23-25 October 2008.
  4. Bao, S. , Gui-Rong, X., Xiaoyuan,W., Yong, Y., Fei, B., Su, Z.: Optimizing web search using social annotations, In Proceedings of the 16th Internationa Conference on World Wide Web, WWW 2007. ACM 2007, 8-12 May 2007, 501-510.
  5. Kazai, G., Milic-Frayling, N.: Effects of Social Approval Votes on Search Performance, In ITNG 2009, Sixth International Conference on Information Technology: New Generations, 27-29 April 2009, ISBN 978-0-7695-3596-8, 1554-1559.
  6. Benna, A., Mellah, H., Hadjari, K.: Building a social network, based on collaborative tagging, to enhance social information retrieval, In ICITES, 2012, 453-458.
  7. Isabella, P.: Folksonomies. Indexing and Retrieval in Web 2.0, K G Saur Verlag, 2009.
  8. Jain, A.:Data Clustering: 50 Years Beyond K-Means, 2009.In Pattern Recognition Letters, 2009.
  9. Page, L., Brin, S., Motwani, R., Winograd, T.:The PageRank citation ranking: Bringing order to the web, In WWW98. 1998, 161172.
  10. Kleinberg, J.M.: Authoritative Sources in a Hyperlinked Environment,In SODA, ACM, 1999, Vol.46, 668-677.
  11. Ben Jabeur, L., Tamine, L., Boughanem, M.: A social model for literature access: towards a weighted social network of authors,RIAO 2010, 32-39.
  12. Mutschke,P.: Enhancing Information Retrieval in Federated Bibliographic Data Sources Using Author Network Based Stratagems, In ECDL 2001, LNCS 2163, pp. Springer, 4-9 September, Vol. 2163, 287-299.
  13. Kichou, S. , Mellah, H., Amghar, Y., Dahak F.: Tags Weighting Based on User Profile, In Active Media Technology - 7th International Conference, AMT 2011. Lecture Notes in Computer Science 6890 Springer 2011, 7-9 September 2011, ISBN 978-3-642-23619-8, 206-216.
  14. Gemmell, J., Shepitsen, A., Mobasher, B., Burke, R.D.: Personalizing Navigation in Folksonomies Using Hierarchical Tag Clustering, In DaWaK 2008, 196-205.
  15. Spiteri, L.: Structure and form of folksonomy tags: The road to the public library catalogue, 2007, Vol. 4.
  16. Begelman,G., Keller P., Smadja, F.: Automated tag clustering: Improving search and exploration in the tag space, Proc. of the Collaborative Web Tagging Workshop at WWW., May 2006, 2226.
  17. Yan, E., Ding, Y.: Applying centrality measures to impact analysis: A coauthorship network analysis, 2009.
  18. Grahl, M., Hotho, A., Stumme, G. : Conceptual Clustering of Social Bookmarking Sites, In LWA. Workshop. September 2007, 50-54.
  19. Cattuto, C., Ben, D., Hotho, A., Stumme, G. : Semantic Grounding of Tag Relatedness in Social Bookmarking Systems, In The Semantic Web - ISWC 2008, 7th International Semantic Web Conference, 26-30 october, 2008, 615-631.
  20. Cattuto, C., Loreto, V., Pietronero, L. : Collaborative Tagging and Semiotic Dynamics,In CoRR. May 2006.
  21. Levenshtein, V. : Binary codes capable of correcting deletions, insertions, 1966.
  22. Hsieh, W-T., Lai, W-S., Chou, S-C. : A collaborative tagging system for learning resources sharing, In IV International Conference on Multimedia and Information and Communication Technologies in Education (m-ICTE2006), 2006, 1364-1368.
  23. Markines, B., Cattuto, C., Menczer, F., Benz,D., Hotho, A., Stumme, G.: Evaluating similarity measures for emergent semantics of social tagging. In WWW 2009, 2009, 641-650.
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Paper Citation


in Harvard Style

Benna A., Mellah H., Choui I. and Oualid A. (2012). Matching Resources in Social Environment . In Proceedings of the 10th International Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems and 1st International Workshop on Web Intelligence - Volume 1: WEBI, (ICEIS 2012) ISBN 978-989-8565-14-3, pages 61-70. DOI: 10.5220/0004088800610070


in Bibtex Style

@conference{webi12,
author={Amel Benna and Hakima Mellah and Islam Choui and Ali Oualid},
title={Matching Resources in Social Environment},
booktitle={Proceedings of the 10th International Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems and 1st International Workshop on Web Intelligence - Volume 1: WEBI, (ICEIS 2012)},
year={2012},
pages={61-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004088800610070},
isbn={978-989-8565-14-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Workshop on Modelling, Simulation, Verification and Validation of Enterprise Information Systems and 1st International Workshop on Web Intelligence - Volume 1: WEBI, (ICEIS 2012)
TI - Matching Resources in Social Environment
SN - 978-989-8565-14-3
AU - Benna A.
AU - Mellah H.
AU - Choui I.
AU - Oualid A.
PY - 2012
SP - 61
EP - 70
DO - 10.5220/0004088800610070