Cold-start news recommendation with domain-dependent browse graph

RecSys 2014 - Proceedings of the 8th ACM Conference on Recommender Systems

Volumn , Issue , 2014, Pages 81-88

  Trevisiol, Michele ^a,b   Aiello, Luca Maria ^a   Schifanella, Rossano ^c   Jaimes, Alejandro ^a  

^a YAHOO RESEARCH   (United States)

^b UNIVERSITAT POMPEU FABRA   (Spain)

^c UNIVERSITY OF TURIN   (Italy)

Author keywords

Browse graph; Browsing behavior; Cold start; News recommendation; Sessions

Indexed keywords

SOCIAL NETWORKING (ONLINE);

BROWSE GRAPH; BROWSING BEHAVIOR; COLD START; NEWS RECOMMENDATION; SESSIONS;

WEB SERVICES;

EID: 84908892537     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2645710.2645726     Document Type: Conference Paper

References (31)

1. D. Agarwal and B.-C. Chen. da: Matrix factorization through latent dirichlet allocation. In WSDM. ACM, 2010.
2. C. Castillo, M. El-Haddad, J. Pfeer, and M. Stempeck. Characterizing the life cycle of online news stories using social media reactions. In CSCW. ACM, 2014.
3. L. Chiarandini, P. Grabowicz, M. Trevisiol, and A. Jaimes. Leveraging browsing patterns for topic discovery and photostream recommendation. In ICWSM. AAAI, 2013.
4. L. Chiarandini, M. Trevisiol, and A. Jaimes. Discovering Social Photo Navigation Patterns. In ICME. ACM, 2012.
5. A. S. Das, M. Datar, A. Garg, and S. Rajaram. Google news personalization. In WWW. ACM, 2007.
6. G. M. Del Corso, A. Gull, and F. Romani. Ranking a stream of news. In WWW. ACM, 2005.
7. F. Figueiredo, F. Benevenuto, and J. Almeida. The Tube over Time : Characterizing Popularity Growth of YouTube Videos. In WSDM, 2011.
8. J. Hu, H.-J. Zeng, H. Li, C. Niu, and Z. Chen. Demographic prediction based on user's browsing behavior. In WWW, 2007.
9. R. Kumar and A. Tomkins. A characterization of online browsing behavior. In WWW. ACM, 2010.
10. L. Li, D. Wang, T. Li, D. Knox, and B. Padmanabhan. SCENE: A scalable two-stage personalized news recommendation system. In SIGIR. ACM, 2011.
11. C. Lin, R. Xie, L. Li, Z. Huang, and T. Li. Premise: Personalized news recommendation via implicit social experts. In X. wen Chen, G. Lebanon, H. Wang, and M. J. Zaki, editors, CIKM, pages 1607-1611. ACM, 2012.
12. J. Liu, P. Dolan, and E. R. Pedersen. Personalized news recommendation based on click behavior. In IUI. ACM, 2010.
13. M. Liu, R. Cai, M. Zhang, and L. Zhang. User browsing behavior-driven web crawling. In CIKM. ACM, 2011.
14. Y. Liu, B. Gao, T.-Y. Liu, Y. Zhang, Z. Ma, S. He, and H. Li. BrowseRank: Letting web users vote for page importance. SIGIR, 2008.
15. Y. Liu, M. Zhang, S. Ma, and L. Ru. User Browsing Graph : Structure , Evolution and Application. In WSDM, 2009.
16. Y. Lv, T. Moon, P. Kolari, Z. Zheng, X. Wang, and Y. Chang. Learning to model relatedness for news recommendation. In WWW. ACM, 2011.
17. R. M. C. McCreadie, C. Macdonald, and I. Ounis. News article ranking: Leveraging the wisdom of bloggers. In RIAO, 2010.
18. A. L. Montgomery, S. Li, K. Srinivasan, and J. C. Liechty. Modeling online browsing and path analysis using clickstream data. Marketing Science, 23(4):579-595, 2004.
19. A. M. Rashid, G. Karypis, and J. Riedl. Learning Preferences of New Users in Recommender Systems : An Information Theoretic Approach. In ACM SIGKDD Explorations Newsletter, volume 10, page 90, Dec. 2008.
20. A. Said and A. Bellogn. News Recommendation in the Wild : Recommendation Algorithms in the NRS Challenge. 2013.
21. G. Shaw, Y. Xu, and S. Geva. Using Association Rules to Solve the Cold-Start Problem in Recommender Systems. In Advances in Knowledge Discovery and Data . . . , pages 21-24, 2010.
22. H. Sobhanam and a. K. Mariappan. Addressing cold start problem in recommender systems using association rules and clustering technique. In ICCCI, pages 1-5. Ieee, Jan. 2013.
23. A. Spink, M. Park, B. J. Jansen, and J. Pedersen. Multitasking during web search sessions. Inf. Process. Manage., 42(1):264-275, 2006.
24. I. Trajkovski. Pagerank-Like Algorithm for Ranking News Stories and News Portals. ICT Innovations, 231:87-96, 2013.
25. M. Trevisiol, L. Chiarandini, L. M. Aiello, and A. Jaimes. In SIGIR. ACM, 2012.
26. M. Tsagkias and R. Blanco. Language intent models for inferring user browsing behavior. In SIGIR, page 335, New York, New York, USA, 2012. ACM Press.
27. M. Tsagkias and R. Blanco. Language intent models for inferring user browsing behavior. In SIGIR. ACM, 2012.
28. M. Tsagkias, M. de Rijke, and W. Weerkamp. Linking online news and social media. In WSDM. ACM, 2011.
29. W. Wagner. Steven bird, ewan klein and edward loper: Natural language processing with python, analyzing text with natural language toolkit. Lang.Resour.Eval., 44(4):421-424, 2010.
30. C. Wang, M. Zhang, L. Ru, and S. Ma. Automatic online news topic ranking using media focus and user attention based on aging theory. In CIKM. ACM, 2008.
31. X. Yang, Y. Guo, and Y. Liu. Bayesian-inference based recommendation in online social networks. In IEEE INFOCOM, pages 551-555. Ieee, Apr. 2011.