Recommendation over a heterogeneous social network

Proceedings - The 9th International Conference on Web-Age Information Management, WAIM 2008

Volumn , Issue , 2008, Pages 309-316

  Zhang, Jing ^a   Tang, Jie ^a   Liang, Bangyong ^b   Yang, Zi ^a   Wang, Sijie ^a   Zuo, Jingjing ^a   Li, Juanzi ^a  

^a TSINGHUA UNIVERSITY   (China)

^b NEC CORPORATION   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

BASELINE METHODS; HETEROGENEOUS NETWORKS; INTERNATIONAL CONFERENCES; RANDOM WALK MODELING; REAL-WORLD DATA SETS; SOCIAL NETWORKS; WEB CONTENTS;

ADMINISTRATIVE DATA PROCESSING; INFORMATION SCIENCE; LEARNING ALGORITHMS; LEARNING SYSTEMS; MANAGEMENT INFORMATION SYSTEMS;

INFORMATION MANAGEMENT;

EID: 51849125152     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WAIM.2008.71     Document Type: Conference Paper

References (17)

1. C. Aggarwal, J. Wolf, K. Wu, and P. Yu. Horting Hatches an Egg: A New Graph-theoretic Approach to Collaborative Filtering. In Proc. of KDD'99. pp. 201-212
2. M. Balabanovic, Y. Shoham. Content-Based Collaborative Recommendation. Commun. ACM, Vol. 40(3), 1997.
3. D. Billsus, M. J. Pazzani. Learning Collaborative Information Filters. In Proc. of ICML'98. pp. 46-53
4. J. Breese, D. Heckerman, and C. Kadie. Empirical Analysis of Predictive Algorithms for Collaborative Filtering. In Proc. of UAI'98. pp. 43-52
5. N. Craswell, A. de Vries, and I. Soboroff. Overview of the Trec-2005 Enterprise Track. In TREC 2005 Conference Notebook. 2005, pp. 199-205
6. M. Deshpande and G. Karypis. Item-based Top-n Recommendation Algorithms. ACM Trans. Inf. Syst., Vol. 22(1):143-177, 2004.
7. E. Garfield. Citation Indexing-Its Theory and Application in Science, Technology, and Humanities. John Wiley & Sons Inc, 1979.
8. D. Goldberg, D. Nichols, D. M. Oki, AND D. Terry. Using Collaborative Filtering to Weave an Information Tapestry. Commun. ACM, Vol. 35(12):61-70, 1992.
9. T. Hofmann. Latent Semantic Models for Collaborative Filtering. ACM Trans. Info. Syst., Vol. 22(1):89-115, 2004.
10. W. Lin, S. Alvarez, and C. Ruiz. Collaborative Recommendation Via Adaptive Association Rule Mining. In Proc. of the Workshop on WEBKDD'00.
11. X. Liu, J. Bollen, M. L. Nelson, and H. V. d. Sompel. Co-authorship Networks in the Digital Library Research Community. Information Processing and Management: an International Journal, Vol. 41(6):681-682, 2005.
12. B. J. Mirza, B. J. Keller, and N. Ramakrishnan. Studying Recommendation Algorithms by Graph Analysis. J. Intel. Inf. Syst., Vol. 20(2):131-160, 2003.
13. Z. Nie, Y. Zhang, J. Wen, and W. Ma. Object-level Ranking: Bringing Order to Web Objects. In Proc. of WWW'05. pp. 567-574
14. L. Page, S. Brin, R. Motwani and T. Winograd. The PageRank Citation Ranking: Bringing Order to the Web. Stanford Digital Library working paper SIDL-WP-1999-0120, Nov. 1999.
15. J. Tang, D. Zhang, and L. Yao. Social Network Extraction of Academic Researchers. In Proc. of ICDM'07. pp. 292-301
16. X W. Xi, B. Zhang, Y. Lu, Z. Chen, S. Yan, H. Zeng, W. Y. Ma, and E. A. Fox. Link Fusion: A Unified Link Analysis Framework for Multi-type Interrelated Data Objects. In Proc. of WWW'04. pp. 319-327
17. J. Zhang, M. S. Ackerman, and L. Adamic. Expertise Networks in Online Communities: Structure and Algorithms. In Proc. of WWW'07. pp. 221-230