A personalized recommender system based on users' information in folksonomies-Reference-Cited by-同舟云学术

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A personalized recommender system based on users' information in folksonomies

Published:2013 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 22nd International Conference on World Wide Web - WWW '13 Companion
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Author:

Jelassi Mohamed Nader¹,Ben Yahia Sadok²,Mephu Nguifo Engelbert³

Affiliation:

1. Faculté des Sciences de Tunis, Tunis, Tunisia & Clermont Université, Université Blaise Pascal Clermont Ferrand, Clermont Ferrand, France

2. Faculté des Sciences de Tunis, Tunis, Tunisia

3. Clermont Université, Université Blaise Pascal Clermont Ferrand, Clermont Ferrand, France

Publisher

ACM Press

Reference33 articles.

1. F. Abel, Q. Gao, G.-J. Houben, and K. Tao. Analyzing Temporal Dynamics in Twitter Profiles for Personalized Recommendations in the Social Web. In Proceedings of ACM WebSci '11, Koblenz, Germany, 2011.

2. R. Agrawal and R. Srikant. Mining sequential patterns. In Proc. of the ICDE, ICDE '95, pages 3--14, Washington, DC, USA, 1995. IEEE Computer Society.

3. H. Alves and A. Santanchè. Abstract framework for social ontologies and folksonomized ontologies. In Proceedings of the 4th International Workshop on Semantic Web Information Management, SWIM '12, pages 10:1--10:4, New York, NY, USA, 2012. ACM.

4. S. Amer-Yahia. Recommendation projects at yahoo! IEEE Data Eng. Bull., 34:69--77, 2011.

5. K. Bischoff, C. S. Firan, W. Nejdl, and R. Paiu. Can all tags be used for search? In Proc. of the 17th ACM CIKM 2008, pages 193--202, Napa Valley, California, 2008. ACM Press.

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