Time-ordered collaborative filtering for news recommendation

China Communications

Volumn 12, Issue 12, 2015, Pages 53-62

  Xiao, Yingyuan ^a   Ai, Pengqiang ^a   Hsu, Ching Hsien ^a,b   Wang, Hongya ^c   Jiao, Xu ^a  

^a TIANJIN UNIVERSITY OF TECHNOLOGY   (China)

^b CHUNG HUA UNIVERSITY   (Taiwan)

^c DONGHUA UNIVERSITY   (China)

Author keywords

time sequence; time dependent similarity; time ordered collaborative filtering

Indexed keywords

EID: 84962308041     PISSN: 16735447     EISSN: None     Source Type: Journal    
DOI: 10.1109/CC.2015.7385528     Document Type: Article

References (21)

1. Zhang, D. A new approach and system for attentive mobile learning based on seamless migration. Applied Intelligence, 2012, 36(1):75-89.
2. Zhang, D., Wang, X., Song, X. A Novel Approach to Mapped Correlation of ID for RFID Anti-collision. IEEE Transactions on Services Computing, 2014,7(4):741-748.
3. Xiang, L., Yuan, Q., et al. Temporal recommendation on graphs via long-and short-term preference fusion. In Proceedings of KDD '10. ACM, New York, NY, USA, 2010: 723-732.
4. Lathia, N., Hailes, S., et al. Temporal diversity in recommender systems. In Proceedings of SIGIR '10. ACM, New York, NY, USA, 2010: 210-217.
5. Moerland, M., Hogenboom, F., et al. Semantics-based news recommendation with SF-IDF+. In Proceedings of WIMS '13. ACM, New York, NY, USA, 2013, No. 22.
6. IJntema, W., Goossen, F., et al. Ontology-based news recommendation. In Proceedings of EDBT '10. ACM, New York, NY, USA, 2010, No.16.
7. Capelle, M., Hogenboom, F., et al. Semantic news recommendation using wordnet and bing similarities. In Proceedings of SAC '13. ACM, New York, NY, USA, 2013: 296-302.
8. Xiao, Y., Ai, P., Wang, H., Hsu, C. H., Li, Y. ENRS: An Effective Recommender System Using Bayesian Model. In Proceedings of DASFAA '15. Springer, Hanoi, Vietnam, 2015: 531-535.
9. Ai, P., Xiao, Y., Zhu, K., Wang, H., Hsu, C. H. A Personalized News Recommendation System Based on Tag Dependency Graph. In Proceedings of WAIM '15. Springer, Qingdao, China, 2015: 584-586.
10. Goossen, F., IJntema, W., et al. News personalization using the CF-IDF semantic recommender. In Proceedings of WIMS '11. ACM, New York, NY, USA, 2011, No. 10.
11. Capelle, M., Frasincar, F., et al. Semantics-based news recommendation. In Proceedings of WIMS '12. ACM, New York, NY, USA, 2011, No. 27.
12. Das, A. S., Datar, M., et al. Google news personalization: scalable online collaborative filtering. In Proceedings of WWW '07. ACM, New York, NY, USA, 2007: 271-280.
13. Resnick, P., Iacovou, N., et al. GroupLens: an open architecture for collaborative filtering of netnews. In Proceedings of CSCW '94. ACM, New York, NY, USA, 1994: 175-186.
14. Koren, Y., Bell, R., Volinsky, C. Matrix factorization techniques for recommender systems. Computer, 2009, 42(8): 30-37.
15. Li, L., Wang, D., et al. Scene: a scalable twostage personalized news recommendation system. In Proceedings of SIGIR '11. ACM, New York, NY, USA, 2011: 125-134.
16. Wen, H., Fang, L., Guan, L. A hybrid approach for personalized recommendation of news on the Web. Expert Systems with Applications, 2012, 39(5): 5806-5814.
17. Liu, J., Dolan, P., Pedersen, E. R. Personalized news recommendation based on click behavior. In Proceedings of IUI '10. ACM, New York, NY, USA, 2010: 31-40.
18. Yeung, K. F., Yang, Y. A proactive personalized mobile news recommendation system. In Proceedings of DESE '10. IEEE, London, UK, 2010: 207-212.
19. Zhang, D., Liang, Y. A kind of novel method of service-aware computing for uncertain mobile applications. Mathematical and Computer Modeling, 2013, 57(3-4):344-356.
20. Adomavicius, G., Tuzhilin, A. Context-aware recommender systems. Recommender systems handbook, 2011: 217-253.
21. Zhang, D., Li, G. An energy-balanced routing method based on forward-aware factor for Wireless Sensor Network. IEEE Transactions on Industrial Informatics, 2014, 10(1):766-773.