Finding useful users on twitter: Twittomender the followee recommender

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6611 LNCS, Issue , 2011, Pages 784-787

  Hannon, John ^a   McCarthy, Kevin ^a   Smyth, Barry ^a  

^a UNIVERSITY COLLEGE DUBLIN   (Ireland)

Author keywords

[No Author keywords available]

Indexed keywords

RECOMMENDER SYSTEMS;

RECOMMENDATION STRATEGIES; RECOMMENDATION TECHNIQUES; USER DATA;

SOCIAL NETWORKING (ONLINE);

EID: 85025109736     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-20161-5_94     Document Type: Conference Paper

References (5)

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2. Guy, I., Ronen, I., Wilcox, E.: Do you know?: recommending people to invite into your social network. In: Proceedings of the 13th International Conference on Intelligent User Interfaces, IUI 2009, pp. 77–86. ACM, New York (2009)
3. Hannon, J., Bennett, M., Smyth, B.: Recommending twitter users to follow using content and collaborative filtering approaches. In: Proceedings of the Fourth ACM Conference on Recommender Systems, RecSys 2010, pp. 199–206. ACM, New York (2010)
4. Konstan, J.A., Miller, B.N., Maltz, D., Herlocker, J.L., Gordon, L.R., Riedl, J.: Grouplens: applying collaborative filtering to usenet news. Commun. ACM 40, 77– 87 (1997)
5. Pazzani, M.J., Billsus, D.: Content-based recommendation systems. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds.) Adaptive Web 2007. LNCS, vol. 4321, pp. 325–341. Springer, Heidelberg (2007)