Scientific articles recommendation

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2013, Pages 1147-1156

  Li, Yingming ^a   Yang, Ming ^a   Zhang, Zhongfei ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Matrix factorization; Probabilistic topic modeling; Recommender system

Indexed keywords

ACCURATE PREDICTION; BASIC HYPOTHESIS; MATRIX FACTORIZATIONS; ON-LINE COMMUNITIES; PROBABILISTIC TOPIC MODELS; REGRESSION MATRICES; REGRESSION MODEL; SCIENTIFIC ARTICLES;

KNOWLEDGE MANAGEMENT; RECOMMENDER SYSTEMS; REGRESSION ANALYSIS;

FORECASTING;

EID: 84889559998     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2505515.2505705     Document Type: Conference Paper

References (31)

1. D. Agarwal and B.-C. Chen. Regression-based latent factor models. In KDD, pages 19-28, 2009.
2. D. Agarwal and B.-C. Chen. flda: matrix factorization through latent dirichlet allocation. In WSDM, pages 91-100, 2010.
3. P. Arkadiusz. Improving regularized singular value decomposition for collaborative filtering. In KDD Cup and Workshop at the 13th ACM SIGKDD Conference, 2007.
4. K. Barnard, P. Duygulu, D. Forsyth, N. de Freitas, D. M. Blei, and M. I. Jordan. Matching words and pictures. Journal of Machine Learning Research, 3:1107-1135, 2003.
5. R. M. Bell and Y. Koren. Scalable collaborative filtering with jointly derived neighborhood interpolation weights. In ICDM, pages 43-52, 2007.
6. R. M. Bell, Y. Koren, and C. Volinsky. Modeling relationships at multiple scales to improve accuracy of large recommender systems. In KDD, pages 95-104, 2007.
7. D. M. Blei and J. D. Lafferty. Correlated topic models. In NIPS, 2005.
8. D. M. Blei and J. D. McAuliffe. Supervised topic models. In NIPS, 2007.
9. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent dirichlet allocation. Journal of Machine Learning Research, 3:993-1022, 2003.
10. D. Cai, Q. Mei, J. Han, and C. Zhai. Modeling hidden topics on document manifold. In CIKM, pages 911-920, 2008.
11. A. P. Dempster, N. Laird, and D. Rubin. Maximum likelihood from incomplete data via the em algorithm. Journal of the Royal Statistical Society, Series B, 39(1):1-38, 1977.
12. Y. Ge, Q. Liu, H. Xiong, A. Tuzhilin, and J. Chen. Cost-aware travel tour recommendation. In KDD, pages 983-991, 2011.
13. T. Hofmann. Probabilistic latent semantic indexing. In SIGIR, pages 50-57, 1999.
14. Y. Hu, Y. Koren, and C. Volinsky. Collaborative filtering for implicit feedback datasets. In ICDM, pages 263-272, 2008.
15. M. Jiang, P. Cui, R. Liu, Q. Yang, F. Wang, W. Zhu, and S. Yang. Social contextual recommendation. In CIKM, pages 45-54, 2012.
16. X. Jin, Y. Zhou, and B. Mobasher. A maximum entropy web recommendation system: combining collaborative and content features. In KDD, pages 612-617, 2005.
17. Y. Koren. Factorization meets the neighborhood: a multifaceted collaborative filtering model. In KDD, pages 426-434, 2008.
18. Y. Koren, R. M. Bell, and C. Volinsky. Matrix factorization techniques for recommender systems. IEEE Computer, 42(8):30-37, 2009.
19. P. Melville, R. J. Mooney, and R. Nagarajan. Content-boosted collaborative filtering for improved recommendations. In AAAI/IAAI, pages 187-192, 2002.
20. R. Pan, Y. Zhou, B. Cao, N. N. Liu, R. M. Lukose, M. Scholz, and Q. Yang. One-class collaborative filtering. In ICDM, pages 502-511, 2008.
21. S. Purushotham and Y. Liu. Collaborative topic regression with social matrix factorization for recommendation systems. In ICML, 2012.
22. R. Salakhutdinov and A. Mnih. Probabilistic matrix factorization. In NIPS, 2007.
23. R. Salakhutdinov and A. Mnih. Bayesian probabilistic matrix factorization using markov chain monte carlo. In ICML, pages 880-887, 2008.
24. H. Shan and A. Banerjee. Generalized probabilistic matrix factorizations for collaborative filtering. In ICDM, pages 1025-1030, 2010.
25. L. Si and R. Jin. Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model. In CIKM, pages 156-157, 2004.
26. N. Srebro and T. Jaakkola. Weighted low-rank approximations. In ICML, pages 720-727, 2003.
27. N. Srebro, J. D. M. Rennie, and T. Jaakkola. Maximum-margin matrix factorization. In NIPS, 2004.
28. C. Wang and D. M. Blei. Collaborative topic modeling for recommending scientific articles. In KDD, pages 448-456, 2011.
29. C. Wang, D. M. Blei, and F.-F. Li. Simultaneous image classification and annotation. In CVPR, pages 1903-1910, 2009.
30. J. Weston, C. Wang, R. Weiss, and A. Berenzweig. Latent collaborative retrieval. In ICML, 2012.
31. K. Yu, A. Schwaighofer, V. Tresp, W.-Y. Ma, and H. Zhang. Collaborative ensemble learning: Combining collaborative and content-based information filtering via hierarchical bayes. In UAI, pages 616-623, 2003.