Personalized news recommendation based on click behavior

International Conference on Intelligent User Interfaces, Proceedings IUI

Volumn , Issue , 2010, Pages 31-40

  Liu, Jiahui ^a   Dolan, Peter ^a   Pedersen, Elin Rønby ^a  

^a GOOGLE INC   (United States)

Author keywords

News trend; Personalization; User modeling

Indexed keywords

BAYESIAN FRAMEWORKS; COLLABORATIVE FILTERING; CONTENT-BASED RECOMMENDATION; HYBRID METHOD; HYBRID RECOMMENDER SYSTEMS; LARGE-SCALE ANALYSIS; LOG ANALYSIS; NEWS ARTICLES; NEWS RECOMMENDATION; ONLINE NEWS; PERSONALIZATIONS; RECOMMENDATION SYSTEMS; USER MODELING; USER PROFILE;

WORLD WIDE WEB;

USER INTERFACES;

EID: 77951143278     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1719970.1719976     Document Type: Conference Paper

References (21)

1. Billsus, D. and Pazzani, M. J. A hybrid user model for news story classification. In Proceedings of the Seventh International Conference on User Modeling. 1999.
2. Billsus, D. and Pazzani, M. J., User Modeling for Adaptive News Access, User Modeling and User- Adapted Interaction, v.10 n.2-3, p.147-180, 2000
3. Carreira, R., Crato, J. M., Gonçalves, D., Jorge, J. A. Evaluating adaptive user profiles for news classification, Proceedings of the 9th international conference on Intelligent user interfaces, 2004.
4. Chen, C. C., Chen, M. C., Sun, Y. PVA: a self-adaptive personal view agent system, Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining, 2001.
5. Chen, Y-S., Shahabi, C.: Automatically improving the accuracy of user profiles with genetic algorithm. In: Proceedings of IASTED International Conference on Artificial Intelligence and Soft Computing, 2001.
6. Claypool, M., Gokhale, A., Miranda, T., Murnikov, P., Netes, D. and Sartin, M. Combining Content-Based and Collaborative Filters in an Online Newspaper. In Proceedings of ACM SIGIR Workshop on Recommender Systems, 1999.
7. Das, A. S., Datar, M., Garg, A., Rajaram, S. Google news personalization: scalable online collaborative filtering, Proceedings of the 16th international conference on World Wide Web, 2007
8. Good, N., Schafer, J. B., Konstan, J. A., Borchers, A., Sarwar, B., Herlocker, J., Riedl, J. Combining collaborative filtering with personal agents for better recommendations, Proceedings of the 16th national conference on Artificial intelligence and the 11th Innovative applications of artificial intelligence conference innovative applications of artificial intelligence, 1999.
9. Kim, H. R., Chan, P. K. Learning implicit user interest hierarchy for context in personalization, Proceedings of the 8th international conference on Intelligent user interfaces, January 12-15, 2003.
10. Jensen, V. Bayesian Networks and Decision Graphs. Springer, 2001
11. Katakis, I., Tsoumakas, G., Banos, E., Bassiliades, N., Vlahavas, I. An adaptive personalized news dissemination system. In Journal of Intelligent Information Systems, Volume 32, Issue 2. 2009.
12. Konstan, J. A., Miller, B.N., Maltz,D., Herlocker, J. L.,Gordon, L. R., and Riedl, J. Group-Lens: Applying collaborative filtering to usenet news. Commun. ACM 40, 77-87. 1997.
13. Lee, U., Liu, Z., Cho, J. Automatic identification of user goals in Web search, Proceedings of the 14th international conference on World Wide Web, 2005
14. Liang, T.-P. and Lai, H.-J. Discovering User Interests from Web Browsing Behavior: An Application to Internet News Services, IEEE Computer Society, Los Alamitos, CA, USA, 2002.
15. Liu, F., Yu, C., Meng, W. Personalized Web Search For Improving Retrieval Effectiveness. In: IEEE Transactions on Knowledge and Data Engineering, 2004.
16. Maes, P. Agents that reduce work and information overload, Communications of the ACM, v.37 n.7, p.30- 40, July 1994.
17. Speretta, M., Gauch, S.: Personalized Search based on User Search Histories. In: IEEE/WIC/ACM International Conference on Web Intelligence, 2005.
18. Sugiyama, K., Hatano, K., Yoshikawa, M. Adaptive web search based on user profile constructed without any effort from users. In: Proceedings 13th International Conference on World Wide Web, 2004.
19. Tan, A. and Tee, C. "Learning User Profiles for Personalized Information Dissemination," Proceedings of 1998 IEEE International Joint conference on Neural Networks, pp. 183- 188, May 1998
20. Tan, A., Teo, C.: Learning user profiles for personalized information dissemination. In: Proceedings of 1998 IEEE International Joint Conference on Neural Networks, 1998.
21. Wedig, S., Madani, O. A large-scale analysis of query logs for assessing personalization opportunities, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, 2006.