From chatter to headlines: Harnessing the real-time web for personalized news recommendation

WSDM 2012 - Proceedings of the 5th ACM International Conference on Web Search and Data Mining

Volumn , Issue , 2012, Pages 153-162

  De Francisci Morales, Gianmarco ^a,b   Gionis, Aristides ^c   Lucchese, Claudio ^b  

^a IMT SCHOOL FOR ADVANCED STUDIES LUCCA   (Italy)

^b ISTI CNR   (Italy)

^c YAHOO RESEARCH   (Spain)

Author keywords

Micro blogging applications; News recommendation; Personalization; Real time web; Recommendation systems

Indexed keywords

DATA SETS; LOG DATA; MICROBLOGGING; NEWS ARTICLES; NEWS RECOMMENDATION; PERSONALIZATIONS; REAL-TIME WEB; TEST SETS; TOOLBARS; USER BEHAVIORS;

BEHAVIORAL RESEARCH; DATA MINING; INFORMATION RETRIEVAL; INFORMATION SERVICES; RECOMMENDER SYSTEMS; WORLD WIDE WEB;

SOCIAL NETWORKING (ONLINE);

EID: 84858027034     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2124295.2124315     Document Type: Conference Paper

References (24)

1. F. Abel, Q. Gao, G. Houben, and K. Tao. Analyzing user modeling on twitter for personalized news recommendations. In 19th International Conference on User Modeling, Adap-tion and Personalization, 2011.
2. G. Adomavicius and A. Tuzhilin. Toward the Next Generation of Recommender Systems: A Survey of the Stateof-the-Art and Possible Extensions. IEEE Transactions on Knowledge and Data Engineering, 17, 2005.
3. C. Akcora, M. Bayir, M. Demirbas, and H. Ferhatosmanoglu. Identifying breakpoints in public opinion. In 1st Workshop on Social Media Analytics, 2010.
4. S. Asur, B. Huberman, G. Szabo, and C. Wang. Trends in social media: Persistence and decay. Arxiv preprint arXiv:1102.1402, 2011.
5. R. Baeza-Yates, P. Boldi, and C. Castillo. Generalizing pagerank: Damping functions for link-based ranking algorithms. In 29th International Conference on Research and Development in Information Retrieval, 2006.
6. E. Bakshy, J. M. Hofman, W. A. Mason, and D. J. Watts. Everyone's an inuencer: quantifying inuence on twitter. In 4th International Conference on Web Search and Data Mining, 2011.
7. M. Cataldi, L. Di Caro, and C. Schifanella. Emerging topic detection on twitter based on temporal and social terms evaluation. In 10th International Workshop on Multimedia Data Mining, 2010.
8. J. Chen, R. Nairn, L. Nelson, M. Bernstein, and E. Chi. Short and tweet: experiments on recommending content from information streams. In 28th International Conference on Human Factors in Computing Systems, 2010.
9. G. Cormode, F. Korn, and S. Tirthapura. Exponentially decayed aggregates on data streams. In 24th International Conference on Data Engineering, 2008.
10. A. Das, M. Datar, A. Garg, and S. Rajaram. Google news personalization: scalable online collaborative flltering. In 16th International Conference on World Wide Web, 2007.
11. S. G. Esparza, M. O'Mahony, and B. Smyth. On the realtime web as a source of recommendation knowledge. 4th ACM Conference on Recommender Systems, 2010.
12. D. Goldberg, D. Nichols, B. M. Oki, and D. Terry. Using collaborative flltering to weave an information tapestry. Communications of the ACM, 35, 1992.
13. T. Hofmann. Probabilistic latent semantic indexing. 22nd International Conference on Research and Development in Information Retrieval, 1999.
14. K. Järvelin and J. Kekäläinen. Cumulated gain-based evaluation of ir techniques. ACM Transaction Information Systems, 20, 2002.
15. A. Java, X. Song, T. Finin, and B. Tseng. Why we twitter: understanding microblogging usage and communities. In 9th WebKDD and 1st SNA-KDD workshop on Web Mining and Social Network Analysis, 2007.
16. T. Joachims. Optimizing search engines using clickthrough data. In 8th International Conference on Knowledge Discovery and Data Mining, 2002.
17. H. Kwak, C. Lee, H. Park, and S. Moon. What is twitter, a social network or a news media? 19th International Conference on World Wide Web, 2010.
18. R. Mccreadie, C. Macdonald, and I. Ounis. News article ranking: leveraging the wisdom of bloggers. In 9th International Conference on Adaptivity, Personalization and Fusion of Heterogeneous Information, 2010.
19. M. Michelson and S. Macskassy. Discovering users' topics of interest on twitter: a first look. In 4th workshop on Analytics for noisy unstructured text data, 2010.
20. D. Paranjpe. Learning document aboutness from implicit user feedback and document structure. In 18th ACM Conference on Information and Knowledge Management, 2009.
21. O. Phelan, K. McCarthy, M. Bennett, and B. Smyth. Terms of a Feather : Content-Based News Recommendation and Discovery Using Twitter. Advances in Information Retrieval, 6611(07), 2011.
22. J. Teevan, D. Ramage, and M. R. Morris. #twittersearch: a comparison of microblog search and web search. In 4th International Conference on Web Search and Data Mining, 2011.
23. A. Toffler. Future shock. Random House Publishing Group, 1984.
24. E. M. Voorhees. The TREC-8 Question Answering Track Report. In Text REtrieval Conference, 1999.