News recommendation in forum-based social media

Proceedings of the National Conference on Artificial Intelligence

Volumn 3, Issue , 2010, Pages 1449-1454

  Wang, Jia ^a   Li, Qing ^a   Chen, Yuanzhu Peter ^b   Liu, Jiafen ^a,c   Zhang, Chen ^a,c   Lin, Zhangxi ^a,c  

^a SOUTHWESTERN UNIVERSITY OF FINANCE AND ECONOMICS   (China)

^b MEMORIAL UNIVERSITY OF NEWFOUNDLAND   (Canada)

^c TEXAS TECH UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

APPLICATION PLATFORMS; NEWS RECOMMENDATION; SERVICE PROVIDER; SOCIAL MEDIA;

SOCIAL NETWORKING (ONLINE);

EID: 77958568843     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Ahn, J.; Brusilovsky, P.; Grady, J.; He, D. and Syn, S. 2007. Open user profiles for adaptive news systems: help or harm? In Proc. of WWW, 11-20.
2. Bogers, T., and Van Den Bosch, A. 2007. Comparing and evaluating information retrieval algorithms for news recommendation. In Proc. of ACM conference on Recommender Systems, 141-144.
3. Brin, S. and Page, L. 1998. The anatomy of a large-scale hypertextual Web search engine. Comput. Netw. ISDN Syst. 30(1-7): 107-117.
4. Candan, K. S.; Dönderler, M. E.; Hedgpeth, T.; Kim, J. W.; Li, Q. and Sapino, M. L. 2009. SEA: Segment-enrich-annotate paradigm for adapting dialog-based content for improved accessibility. ACM Transactions on Information Systems 27(3): 1-45.
5. Cantador, I., Bellogin, A. and Castells, P. 2008. Ontology-based personalized and context-aware recommendations of news items. In Proc. of WI, 562-565.
6. Chiang, J.-H. and Chen, Y.-C. 2004. An intelligent news recommender agent for filtering and categorizing large volumes of text corpus. International Journal of Intelligent Systems 19(3):201-216.
7. Claypool, M; Gokhale, A.; Miranda, T.; Murnikov, P.; Netes, D. and Sartin, M. 1999. Combining content-based and collaborative filters in an online newspaper. In Proc. of ACM SIGIR Workshop on Recommender Systems.
8. Das, A. S.; Datar, M.; Garg, A. and Rajaram, S. 2007. Google news personalization: scalable online collaborative filtering. In Proc. of WWW, 271-280.
9. Del Corso, G. M.; Gulli, A. and Romani, F. 2005. Ranking a stream of news. In Proc. of WWW, 97-106.
10. Karypis, G. 2001. Evaluation of item-based top-n recommendation algorithms. In Proc. of CIKM, 247-254.
11. Lai, H.-J.; Liang, T.-P. and Ku, Y. C. 2003. Customized internet news services based on customer profiles. In Proc. of ICEC, 225-229.
12. Lavrenko, V. and Croft, W. B. 2001. Relevance based language models. In Proc. of SIGIR, 120-127.
13. Lavrenko, V.; Schmill, M.; Lawrie, D.; Ogilvie, P.; Jensen, D. and Allan, J. 2000. Language models for financial news recommendation. In Proc. of CIKM, 389-396.
14. Lee, H. and Park, S. 2007. MONERS: A news recommender for the mobile web. Expert Systems with Applications 32(1):143-150.
15. Ponte, J. M. and Croft, W. B. 1998. A language modeling approach to information retrieval. In Proc. of SIGIR, 275-281.
16. Ricardo, B. and Berthier, R. 1999. Modern information retrieval. Addison Wesley Longman Publishing Co. Inc.
17. Robertson, S. E. and Walker, S. 1994. Some simple effective approximations to the 2-poisson model for probabilistic weighted retrieval. In Proc. of SIGIR, 232-241.
18. Wang, W, and Benbasat, I. 2007. Recommendation agents for electronic commerce: Effects of explanation facilities on trusting beliefs. Journal of Management Information Systems 23(4):217-246.
19. Zobel, J. 1998. How reliable are the results of large-scale information retrieval experiments? In Proc. of SIGIR, 307-314.