Citation recommendation without author supervision

Proceedings of the 4th ACM International Conference on Web Search and Data Mining, WSDM 2011

Volumn , Issue , 2011, Pages 755-764

  He, Qi ^a   Kifer, Daniel ^a   Pei, Jian ^b   Mitra, Prasenjit ^a   Lee Giles, C ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

^b SIMON FRASER UNIVERSITY   (Canada)

Author keywords

Bibliometrics; Context; Extraction; Recommender systems

Indexed keywords

BIBLIOMETRICS; CONTEXT; DATA SETS; EMPIRICAL EVALUATIONS; LITERATURE SEARCH;

BIBLIOGRAPHIES; DATA MINING; INFORMATION SCIENCE; RECOMMENDER SYSTEMS;

WORLD WIDE WEB;

EID: 79952384357     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1935826.1935926     Document Type: Conference Paper

References (31)

1. S. Aya, C. Lagoze, and T. Joachims. Citation classification and its applications. ICKM, 2005.
2. C. Basu, H. Hirsh, W. Cohen, and C. Nevill-Manning. Technical paper recommendation: A study in combining multiple information sources. J. of Artificial Intelligence Research, 2001.
3. D. Blei, A. Ng, and M. Jordan. Latent dirichlet allocation. J. Machine Learning Research, 2003.
4. A. Broder, M. Fontoura, V. Josifovski, and L. Riedel. A semantic approach to contextual advertising. SIGIR, 2007.
5. K. Chandrasekaran, S. Gauch, P. Lakkaraju, and H. Luong. Concept-Based Document Recommendations for CiteSeer Authors. Adaptive Hypermedia and Adaptive Web-Based Systems, Springer, 2008.
6. D. Cohn and T. Hofmann. The missing link - a probabilistic model of document content and hypertext connectivity. NIPS, 2001.
7. R. Durrett. Probability: Theory and Examples. Duxbury Press, 2nd edition, 1995.
8. E. Erosheva, S. Fienberg, and J. Lafferty. Mixed membership models of scientific publications. PNAS, 2004.
9. Q. He, J. Pei, D. Kifer, P. Mitra, and L. Giles. Context-aware citation recommendation. WWW, 2010.
10. S. Huang, G. Xue, B. Zhang, Z. Chen, Y. Yu, and W. Ma. Tssp: A reinforcement algorithm to find related papers. WI, 2004.
11. S. Kataria, P. Mitra, and S. Bhatia. Utilizing context in generative bayesian models for linked corpus. AAAI, 2010.
12. S. M. Katz. Estimation of probabilities from sparse data for the language model component of a speech recogniser. IEEE Transactions on Acoustics, Speech, and Signal Processing, 1987.
13. J. Kleinberg. Bursty and hierarchical structure in streams. SIGKDD, 2002.
14. D. Liben-Nowell and J. Kleinberg. The link prediction problem for social networks. CIKM, 2003.
15. S. McNee, I. Albert, D. Cosley, P. Gopalkrishnan, S. Lam, A. Rashid, J. Konstan, and J. Riedl. On the recommending of citations for research papers. CSCW, 2002.
16. R. Nallapati, A. Ahmed, E. Xing, and W. Cohen. Joint latent topic models for text and citations. SIGKDD, 2008.
17. J. M. Ponte and W. B. Croft. A language modeling approach to information retrieval. Research and Development in Information Retrieval, 1998.
18. J. R. Quinlan. C4.5: programs for machine learning. Morgan Kaufmann, 1993.
19. B. Ribeiro-Neto, M. Cristo, P. B. Golgher, and E. S. de Moura. Impedance coupling in contenttargeted advertising. SIGIR, 2005.
20. C. Rijsbergen. The Geometry of Information Retrieval. Cambridge University Press, 2004.
21. A. Ritchie. Citation context analysis for information retrieval. PhD thesis, University of Cambridge, 2008.
22. B. Shaparenko and T. Joachims. Identifying the original contribution of a document via language modeling. ECML, 2009.
23. D. Simon. Optimal State Estimation: Kalman, H Infinity, and Nonlinear Approaches. Wiley-Interscience, 2006.
24. T. Strohman, B. Croft, and D. Jensen. Recommending citations for academic papers. SIGIR, 2007.
25. J. Tang and J. Zhang. A discriminative approach to topic-based citation recommendations. PAKDD, 2009.
26. R. Torres, S. McNee, M. Abel, J. Konstan, and J. Riedl. Enhancing digitial libraries with techlens. JCDL, 2004.
27. V. von Brzeski, U. Irmak, and R. Kraft. Leveraging context in user-centric entity detection systems. CIKM, 2007.
28. F. Wang, B. Chen, and Z. Miao. A survey on reviewer assignment problem. IEA/AIE, 2008.
29. W. Yih, J. Goodman, and V. R. Carvalho. Finding advertising keywords on web pages. WWW, 2006.
30. Y. Zhao and G. Karypis. Hierarchical clustering algorithms for document datasets. Data Mining and Knowledge Discovery, 2005.
31. D. Zhou, S. Zhu, K. Yu, X. Song, B. Tseng, H. Zha, and L. Giles. Learning multiple graphs for document recommendations. WWW, 2008.