Overview of Special Issue
References
[1]
Gediminas Adomavicius and YoungOk Kwon. Improving aggregate recommendation diversity using ranking-based techniques. IEEE Trans. on Knowl. and Data Eng., 24(5):896--911, 2012.
[2]
James Allan et al. Challenges in information retrieval and language modeling. In ACM SIGIR Forum, volume 37, pages 31--47. ACM, 2003.
[3]
Nicholas J. Belkin and W. Bruce Croft. Information filtering and information retrieval: Two sides of the same coin? Commun. ACM, 35(12):29--38, 1992.
[4]
David M. Blei, Andrew Y. Ng, and Michael I. Jordan. Latent dirichlet allocation. J. Mach. Learn. Res., 3:993--1022, 2003.
[5]
Abraham Bookstein and Don R. Swanson. Probabilistic models for automatic indexing. Journal of the Association for Information Science, 25(5):312--316, 1974.
[6]
Chris Buckley. The SMART project at TREC, pages 301--320. MIT Press, 2005.
[7]
Chris Burges, Tal Shaked, Erin Renshaw, Ari Lazier, Matt Deeds, Nicole Hamilton, and Greg Hullender. Learning to rank using gradient descent. In Proceedings of the 22Nd International Conference on Machine Learning, ICML '05, pages 89--96, New York, NY, USA, 2005. ACM.
[8]
F. Crestani, M. Lalmas, and C.J. van Rijsbergen. Information Retrieval: Uncertainty and Logics: Advanced Models for the Representation and Retrieval of Information. The Information Retrieval Series. Springer US, 2012.
[9]
Fabio Crestani, Sandor Dominich, Mounia Lalmas, and Cornelis Joost van Rijsbergen. Mathematical, logical, and formal methods in information retrieval: An introduction to the special issue. J. Am. Soc. Inf. Sci. Technol., 54(4):281--284, 2003.
[10]
Norbert Fuhr. Salton award lecture information retrieval as engineering science. SIGIR Forum, 46(2):19--28, 2012.
[11]
Stephen P. Harter. A probabilistic approach to automatic keyword indexing. part i and ii. Journal of the Association for Information Science, 26(5):197--206, 280--289, 1975.
[12]
Jonathan L. Herlocker, Joseph A. Konstan, Loren G. Terveen, and John T. Riedl. Evaluating collaborative filtering recommender systems. ACM Trans. Inf. Syst., 22(1):5--53, 2004.
[13]
Thomas Hofmann. Probabilistic latent semantic indexing. In Proceedings of the 22Nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '99, pages 50--57, New York, NY, USA, 1999. ACM.
[14]
Victor Lavrenko. A Generative Theory of Relevance. PhD thesis, University of Massachusetts Amherst, 2004.
[15]
H. P. Luhn. A business intelligence system. IBM J. Res. Dev., 2(4):314--319, 1958.
[16]
Hao Ma, Irwin King, and Michael R. Lyu. Effective missing data prediction for collaborative filtering. In Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '07, pages 39--46, New York, NY, USA, 2007. ACM.
[17]
Melvin E. Maron and J. Lary Kuhns. On relevance, probabilistic indexing and information retrieval. Journal of the ACM (JACM), 7(3):216--244, 1960.
[18]
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. Distributed representations of words and phrases and their compositionality. In Proceedings of the 26th International Conference on Neural Information Processing Systems, NIPS'13, pages 3111--3119, USA, 2013. Curran Associates Inc.
[19]
Xia Ning, Christian Desrosiers, and George Karypis. A Comprehensive Survey of Neighborhood-Based Recommendation Methods, pages 37--76. Springer US, Boston, MA, 2015.
[20]
Jay M. Ponte and W. Bruce Croft. A language modeling approach to information retrieval. In Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR '98, pages 275--281, New York, NY, USA, 1998. ACM.
[21]
Stephen E. Robertson, Melvin E. Maron, and William S. Cooper. Probability of relevance: a unification of two competing models for document retrieval. Information technology: research and development, 1(1):1--21, 1982.
[22]
Stephen E. Robertson and Karen Sparck-Jones. Relevance weighting of search terms. Journal of the American Society for Information Science, 27(3):129--146, 1976.
[23]
Mingxuan Sun, Fuxin Li, Joonseok Lee, Ke Zhou, Guy Lebanon, and Hongyuan Zha. Learning multiple-question decision trees for cold-start recommendation. In Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, WSDM '13, pages 445--454, New York, NY, USA, 2013. ACM.
[24]
C. J. Van Rijsbergen. A non-classical logic for information retrieval. The Computer Journal, 29(6):481, 1986.
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- Overview of Special Issue
Index terms have been assigned to the content through auto-classification.
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Published: 02 August 2017
Published in SIGIR Volume 51, Issue 2
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