Incremental probabilistic latent semantic analysis for automatic question recommendation

RecSys'08: Proceedings of the 2008 ACM Conference on Recommender Systems

Volumn , Issue , 2008, Pages 99-106

  Wu, Hu ^a   Wang, Yongji ^a   Cheng, Xiang ^b  

^a INSTITUTE OF GEOLOGY AND GEOPHYSICS   (China)

^b PEKING UNIVERSITY   (China)

Author keywords

Incremental learning; PLSA; Recommendation System

Indexed keywords

BASELINE METHODS; INCREMENTAL LEARNING; INCREMENTAL MODELS; KNOWLEDGE MANAGEMENT PLATFORMS; PLSA; POSITIVE FEEDBACKS; PROBABILISTIC LATENT SEMANTIC ANALYSIS; REAL-WORLD; RECOMMENDATION ALGORITHMS; RECOMMENDATION SYSTEM; RECOMMENDATION TECHNIQUES; USER-CENTRIC; USER-GENERATED CONTENTS; WEB 2.0;

FEEDBACK; IMAGE RETRIEVAL; INFORMATION THEORY; KNOWLEDGE MANAGEMENT; LEARNING SYSTEMS; SEMANTICS;

WEBSITES;

EID: 63449138786     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1454008.1454026     Document Type: Conference Paper

References (19)

1. Thomas Hofmann. Unsupervised Learning by Probabilistic Latent Semantic Analysis. Maching Learning Journal, Vol. 42, No. 1-2, pp. 177-196, 2001.
2. M. Girolami and A. Kaban. On an Equivalence Between PLSI and LDA. In: Proc. of SIGIR, pp. 433-434, 2003.
3. Dempster A. P., Laird N. M., and Rubin D. B.. Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of the Royal Statistical Society, Series B, Vol. 39, No. 1, pp. 1-38, 1977.
4. Christophe G. Carrier. A Note on the Utility of Incremental Learning. AI Communications, Vol. 13, No. 4, pp. 215-223, 2000.
5. T. C. Chou and M.C Chen. Using Incremental PLSA for Threshold Resilient Online Event Anlysis. IEEE Transaction on Knowledge and Data Engineering, Vol. 20, No. 3, pp. 289-299, 2008.
6. T. Hofmann. Latent Semantic Models for Collaborative Filtering. ACM Transaction Information System, Vol. 22, No. 1, pp.89-115, 2004.
7. L. Zhang and C. Li, etc.. An Efficient Solution to Factor Drifting Problem in the PLSA Model. In: Proc. of the The Fifth International Conference on Computer and Information Technology, pp.175-181, 2005.
8. J. Zhang, Z. Ghahramani, and Y. Yang. A Probabilistic Model for Online Document Clustering with Applications to Novelty Detection. In Proc. of NIPS, pp. 1617-1624, 2005.
9. Arun C. Surendran and Suvrit Sra. Incremental Aspect Models for Mining Document Streams. 10th European Conferences on Principles and Practice of Knowledge Discovery, pp. 633-640, 2006.
10. J. T. Chien and M. S. Wu. Adaptive Bayesian Latent Semantic Analysis. IEEE Transactions on Audio, Speech, and Language Processing, Vol. 16, No. 1, pp. 198-207, 2008.
11. B. Marlin. Collaborative Filtering: A Machine Learning Perspective. Master's thesis, University of Toronto, 2004.
12. Das A., Datar M., Garg A. and Rajaram S.. Google News Personalization: Scalable Online Collaborative Filtering. In: Proc. of the 16th Int. Conf. on World Wide Web, pp. 270-280, 2007.
13. D. M. Blei, A. Ng, and M. I. Jordan. Latent Dirichlet Allocation. Journal of Machine Learning Research, 3, 993-1022, 2003.
14. R. M. Neal and G. E. Hinton. A View of the EM Algorithm that Justifies Incremental, Sparse, and other Variants. In Learning in Graphical Models. Kluwer Academic Press, pp. 355-368, 1998.
15. Arindam Banerjee and Sugato Basu. Topic Models over Text Streams: A Study of Batch and Online Unsupervised Learning. In: Proc. of the SIAM International Conference on Data Mining (SDM), pp.437-442, 2007.
16. Asela Gunawardana, William Byrne. Convergence Theorems for Generalized Alternating Minimization Procedures. The Journal of Machine Learning Research, Vol. 6, pp. 2049-2073, 2005.
17. Y. B. Cao, H. Z. Duan, C. Y. Lin, Y. Yu, and H. W. Hon. Recommending Questions Using the MDL-based Tree Cut Model. In: Proc. of the 17th Int. Conf. on World Wide Web, pp. 81-90, 2008.
18. Lada A. Adamic, J. Zhang, and etc., Knowledge Sharing and Yahoo Answers: Everyone Knows Something. In: Proc. of the 17th Int. Conf. on World Wide Web, pp. 665-674, 2008.
19. Z. Gyöngyi, G. Koutrika, etc., Questioning Yahoo! Answers. First WWW Workshop on Question Answering on the Web, 2008.