Discriminative graphical models for faculty homepage discovery

Information Retrieval

Volumn 13, Issue 6, 2010, Pages 618-635

  Fang, Yi ^a   Si, Luo ^a   Mathur, Aditya P ^a  

^a Purdue University   (United States)

Author keywords

Discriminative graphical models; Homepage finding; Information retrieval

Indexed keywords

EID: 78649528475     PISSN: 13864564     EISSN: 15737659     Source Type: Journal    
DOI: 10.1007/s10791-010-9127-7     Document Type: Article

References (26)

1. Craswell, N., Hawking, D., & Robertson, S. (2001). Effective site finding using link anchor information.
2. Craswell, N., Hawking, D., Wilkinson, R., & Wu, M. (2002). TREC 10 Web and interactive tracks at CSIRO. NIST special publication, pp. 151-158.
3. Culotta, A., Bekkerman, R., & McCallum, A. (2004). Extracting social networks and contact information from email and the web. In First Conference on Email and Anti-Spam (CEAS).
4. Davison, B. (2000). Topical locality in the Web. In Proceedings of the 23th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. ACM: New York, NY, pp. 272-279.
5. Doan, A., Ramakrishnan, R., Chen, F., DeRose, P., Lee, Y., McCann, R., et al. (2006). Community information management. IEEE Data Engineering Bulletin, 29(1):64-72.
6. Hawking, D., & Craswell, N. (2001). Overview of the TREC-2001 web track. NIST special publication, pp. 61-67.
7. Heckerman, D., Meek, C., & Koller, D. (2007). Probabilistic entity-relationship models, PRMs, and plate Models. Introduction to Statistical Relational Learning.
8. Jordan, M. (1998). Learning in graphical models. Norwell, MA: Kluwer.
9. Kraaij, W., Westerveld, T., & Hiemstra, D. (2002). The importance of prior probabilities for entry page search. In Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 27-34). New York, NY: ACM Press.
10. Lafferty, J., McCallum, A., & Pereira, F. (2001). Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In International Conference on Machine Learning, pp. 282-289.
11. McCallum, A. (2003). Efficiently inducing features of conditional random fields. In Nineteenth Conference on Uncertainty in Artificial Intelligence (UAI03).
12. Murphy, K., Weiss, Y., & Jordan, M. (1999). Loopy belief propagation for approximate inference: An empirical study. In Proceedings of Uncertainty in AI, Citeseer, pp. 467-475.
13. Neville, J., & Jensen, D. (2003). Collective classification with relational dependency networks. In Proceedings of the Second International Workshop on Multi-Relational Data Mining, pp. 77-91.
14. Ogilvie, P., & Callan, J. (2003). Combining document representations for known-item search. In Proceedings of the 26th Annual international ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 143-150). New York, NY: ACM.
15. Pearl, J. (1988). Probabilistic reasoning in intelligent systems: Networks of plausible inference. San Mateo, CA: Morgan Kaufmann Publishers.
16. Sebastiani, F. (2002). Machine learning in automated text categorization. ACM Computing Surveys, 34(1):1-47.
17. Shakes, J., Langheinrich, M., & Etzioni, O. (1997). Dynamic reference sifting: A case study in the homepage domain. Computer Networks and ISDN Systems, 29(8-13):1193-1204.
18. Tang, J., Zhang, D., & Yao, L. (2007). Social network extraction of academic researchers. In Seventh IEEE International Conference on Data Mining, pp. 292-301.
19. Taskar, B., Abbeel, P., & Koller, D. (2002). Discriminative probabilistic models for relational data. In Eighteenth Conference on Uncertainty in Artificial Intelligence (UAI02), pp. 895-902.
20. Upstill, T. Craswell, N., & Hawking, D. (2003). Query-independent evidence in home page finding. ACM Transactions on Information Systems (TOIS), 21(3):286-313.
21. Voorhees, E., & Harman, D. (2001). Overview of TREC 2001. NIST Special Publication, pp. 500-250.
22. Westerveld, T., Hiemstra, D., & Kraaij, W. (2002). Retrieving web pages using content, links, URLs and anchors. NIST special publication, pp. 663-672.
23. Xi, W., Fox, E., Tan, R., & Shu, J. (2002). Machine learning approach for homepage finding task. Lecture Notes in Computer Science, pp. 145-159.
24. Yang, Y., & Liu, X. (1999). A re-examination of text categorization methods. In Proceedings of the 22th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. New York, NY: ACM, pp. 42-49.
25. Yang, Y., & Pedersen, J. (1997). A comparative study on feature selection in text categorization. In International Conference on Machine Learning. San Francisco: Morgan Kaufmann Publishers, pp. 412-420.
26. Yedidia, J., Freeman, W., & Weiss, Y. (2001). Generalized nelief propagation. Advances in Neural Information Processing Systems, pp. 689-695.