A hybrid approach for personalized recommendation of news on the Web

Expert Systems with Applications

Volumn 39, Issue 5, 2012, Pages 5806-5814

  Wen, Hao ^a   Fang, Liping ^a   Guan, Ling ^a  

^a RYERSON UNIVERSITY   (Canada)

Author keywords

Information retrieval; Recommender system; User interest model; User preference model; Web page classification

Indexed keywords

COLLABORATIVE FILTERING; HYBRID APPROACH; HYBRID METHOD; PERSONALIZED RECOMMENDATION; PREFERENCE MODELS; USER INTEREST MODEL; USER PREFERENCE MODEL; USER'S INTEREST; USERS' INTERESTS; WEB PAGE CLASSIFICATION; WEB SURFING; WEB USERS;

EXPERIMENTS; INFORMATION RETRIEVAL;

RECOMMENDER SYSTEMS;

EID: 84855887997     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.11.087     Document Type: Article

References (47)

1. N.R. Adam, V. Atluri, E. Bertino, and E. Ferrari A content-based authorization model for digital libraries IEEE Transactions on Knowledge and Data Engineering 14 2 2002 296 315
2. G. Adomavicius, and A. Tuzhilin Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions IEEE Transactions on Knowledge and Data Engineering 17 6 2005 734 749
3. S. Albers, and M. Clement Analyzing the success drivers of e-business companies IEEE Transactions on Engineering Management 54 2 2007 301 314
4. L. Ardissono, A. Goy, G. Petrone, and M. Segnan A multi-agent infrastructure for developing personalized web-based systems ACM Transactions on Internet Technology 5 1 2005 47 69
5. M.S. Bernstein, D. Tan, G. Smith, M. Czerwinski, and E. Horvitz Personalization via friendsourcing ACM Transactions on Computer-Human Interaction 17 2 2010 6:1 6:28
6. J. Bobadilla, F. Serradilla, and J. Bernal A new collaborative filtering metric that improves the behavior of recommender systems Knowledge-Based Systems 23 6 2010 520 528
7. Bomhardt, C. (2004). NewsRec, A SVM-driven personal recommendation system for news Websites. In Proceedings of the IEEE/WIC/ACM international conference on Web intelligence, Beijing, China (pp. 545-548).
8. S. Boutemedjet, and D. Ziou A graphical model for context-aware visual content recommendation IEEE Transactions on Multimedia 10 1 2008 52 62
9. R. Burke Hybrid recommender systems: Survey and experiments User Modeling and User-Adapted Interaction 12 4 2002 331 370
10. C. Chen, Y. Chen, and C. Liu Learning performance assessment approach using Web-based learning portfolios for e-learning systems IEEE Transactions on Systems, Man, and Cybernetics, Part C 37 6 2007 1349 1359
11. Chen, W.; Zhang, L.; Chen, C.; & Bu, J. (2009). A hybrid phonic Web news recommender system for pervasive access. In Proceedings of the 2009 international conference on communications and mobile computing, Kunming, China (pp. 122-126).
12. K. Cheung, K. Tsui, and J. Liu Extended latent class models for collaborative recommendation IEEE Transactions on Systems, Man, and Cybernetics, Part A 34 1 2004 143 148
13. J. Cho, K. Kwon, and Y. Park Collaborative filtering using dual information sources IEEE Intelligent Systems 22 3 2007 30 38
14. D.H. Choi, and B.S. Ahn Eliciting customer preferences for products from navigation behavior on the Web: A multicriteria decision approach with implicit feedback IEEE Transactions on Systems, Man, and Cybernetics, Part A 39 4 2009 880 889
15. S.H. Choi, Y.-S. Jeong, and M.K. Jeong A hybrid recommendation method with reduced data for large-scale application IEEE Transactions on Systems, Man, and Cybernetics, Part C 40 5 2010 557 566
16. E. Frias-Martinez, S.Y. Chen, and X. Liu Survey of data mining approaches to user modeling for adaptive hypermedia IEEE Transactions on Systems, Man, and Cybernetics: Part C 36 6 2006 734 749
17. Y. Gao, and Y. Li An intelligent fuzzy-based recommendation system for consumer electronic products Expert Systems with Applications 33 1 2007 230 240
18. D. Godoy, S. Schiaffino, and A. Amandi Integrating user modeling approaches into a framework for recommender agents Internet Research 20 1 2010 29 54
19. S.H. Ha Digital content recommender on the Internet IEEE Intelligent Systems 21 2 2006 70 77
20. T. Health How will we interact with the Web of data? IEEE Internet Computing 12 5 2008 88 91
21. J.L. Herlocker, J.A. Konstan, L.G. Terveen, and J.T. Riedl Evaluating collaborative filtering recommender systems ACM Transactions on Information Systems 22 1 2004 5 53
22. N.J. Hurley, M.P. O'Mahony, and G.C.M. Silvestre Attacking recommender systems: A cost-benefit analysis IEEE Intelligent Systems 22 3 2007 64 68
23. T. Jiang, and A. Tuzhilin Improving personalization solutions through optimal segmentation of customer bases IEEE Transactions on Knowledge and Data Engineering 21 3 2009 305 320
24. J.A. Konstan Introduction to recommender systems: Algorithms and evaluation ACM Transactions on Information Systems 22 1 2004 1 4
25. L. Lancieri, and N. Durand Internet user behavior: Compared study of the access traces and application to the discovery of communities IEEE Transactions on Systems, Man, and Cybernetics: Part A 36 1 2006 208 219
26. H.J. Lee, and S.J. Park MONERS: A news recommender for the mobile Web Expert Systems with Applications 32 1 2007 143 150
27. Li, L.; Chu, W.; Langford, J.; & Schapire, R. E. (2010). A contextual-bandit approach to personalized news article recommendation. In Proceedings of the 19th international conference on World Wide Web, Raleigh, USA (pp. 661-670).
28. Q. Li, R. Lau, T. Shih, and F. Li Technology supports for distributed and collaborative learning over the Internet ACM Transactions on Internet Technology 8 2 2008 10:1 10:24
29. T. Liang, Y. Yang, D. Chen, and Y. Ku A semantic-expansion approach to personalized knowledge recommendation Decision Support System 45 3 2008 401 412
30. Miller, G. A. (2009). WordNet - About us. WordNet, Princeton University, .
31. B.N. Miller, J.A. Konstan, and J. Riedl PocketLens: Toward a personal recommender system ACM Transactions on Information Systems 22 3 2004 437 476
32. B. Mobasher, R. Burke, R. Bhaumik, and J.J. Sandvig Attacks and remedies in collaborative recommendation IEEE Intelligent Systems 22 3 2007 56 63
33. M.S. Pera, and Y. Ng Utilizing phrase-similarity measures for detecting and clustering informative RSS news articles Integrated Computer-Aided Engineering 15 4 2008 331 350
34. Santos, E.; Nguyen, H.; Zhao, Q.; & Wang, H. (2003). User modeling for intent prediction in information analysis. In Proceedings of the 47th annual meeting for the human factors and ergonomics society, Denver, Colorado (pp. 1034-1038).
35. J. Teevan, S.T. Dumais, and E. Horvitz Potential for personalization ACM Transactions on Computer-Human Interaction 17 1 2010 4:1 4:31
36. I. Trestian, S. Ranjan, A. Kuzmanovic, and A. Nucci Googling the Internet: Profiling Internet endpoints via the World Wide Web IEEE/ACM Transactions on Networking 18 2 2010 666 679
37. W.-J. Van Den Heuvel, and M.P. Papazoglou Toward business transaction management in smart service networks IEEE Internet Computing 14 4 2010 71 75
38. F.D. Von Borstel, and J.L. Gordillo Model-based development of virtual laboratories for robotics over the Internet IEEE Transactions on Systems, Man, and Cybernetics, Part A 40 3 2010 623 634
39. F. Wang, and H. Shao Effective personalized recommendation based on time-framed navigation clustering and association mining Expert Systems with Applications 27 3 2004 365 377
40. Y. Wei, L. Moreau, and N.R. Jennings A market-based approach to recommender systems ACM Transactions on Information Systems 23 3 2005 227 266
41. Wen, H.; Fang, L.; & Guan, L. (2008a). Modelling an individual's Web search interests by utilizing navigational data. In Proceedings of the 2008 IEEE 10th workshop on multimedia signal processing, Cairns, Australia (pp. 691-695).
42. H. Wen, L. Fang, and L. Guan Automatic Web page classification using various features Proceedings of the 9th Pacific Rim conference on multimedia, Tainan, Taiwan Lecture Notes in Computer Science Vol. 5353 2008 Springer 368 376
43. Wen, H.; Fang, L.; & Guan, L. (2009). A multi-agent based automatic Web recommendation model. In Proceedings of the eighth international conference on machine learning and cybernetics, Baoding, Hebei, China (pp. 1482-1487).
44. Wen, H.; Fang, L.; & Guan, L. (2010). Personalized search based on a Web user's interests and behaviors. Working Paper, Department of Mechanical and Industrial Engineering, Ryerson University, Toronto, Canada.
45. S. Weng, B. Lin, and W. Chen Using contextual information and multidimensional approach for recommendation Expert Systems with Applications 36 2 2009 1268 1279
46. S.K. Yong, B.J. Yum, J. Song, and M.K. Su Development of a recommendation system based on navigational and behavioral patterns of customers in e-commerce sites Expert Systems with Applications 28 2 2005 381 393
47. K. Yu, A. Schwaighofer, V. Tresp, X. Xu, and H.P. Kriegel Probabilistic memory-based collaborative filtering IEEE Transactions on Knowledge and Data Engineering 16 1 2004 56 69