Introduction - Learning to Rank for Information Retrieval - page 28

47. Li, P., Burges, C., Wu, Q.: McRank: Learning to rank using multiple classification and gradient
boosting. In: Advances in Neural Information Processing Systems 20 (NIPS 2007), pp. 845-
852 (2008)
48. Liu, T.Y., Xu, J., Qin, T., Xiong, W.Y., Li, H.: LETOR: Benchmark dataset for research on
learning to rank for information retrieval. In: SIGIR 2007 Workshop on Learning to Rank for
Information Retrieval (LR4IR 2007) (2007)
49. Mao, J.: Machine learning in online advertising. In: Proceedings of the 11th International
Conference on Enterprise Information Systems (ICEIS 2009), p. 21 (2009)
50. Maron, M.E., Kuhns, J.L.: On relevance, probabilistic indexing and information retrieval.
Journal of the ACM 7 (3), 216-244 (1960)
51. McSherry, F.: A uniform approach to accelerated pagerank computation. In: Proceedings of
the 14th International Conference on World Wide Web (WWW 2005), pp. 575-582. ACM,
New York (2005)
52. Metzler, D.A., Croft, W.B.: A Markov random field model for term dependencies. In: Proceed-
ings of the 28th Annual International ACM SIGIR Conference on Research and Development
in Information Retrieval (SIGIR 2005), pp. 472-479 (2005)
53. Metzler, D.A., Kanungo, T.: Machine learned sentence selection strategies for query-biased
summarization. In: SIGIR 2008 Workshop on Learning to Rank for Information Retrieval
(LR4IR 2008) (2008)
54. Mitchell, T.: Machine Learning. McGraw-Hill, New York (1997)
55. Nallapati, R.: Discriminative models for information retrieval. In: Proceedings of the 27th
Annual International ACM SIGIR Conference on Research and Development in Information
Retrieval (SIGIR 2004), pp. 64-71 (2004)
56. Pavlu, V.: Large scale ir evaluation. PhD thesis, Northeastern University, College of Computer
and Information Science (2008)
57. Ponte, J.M., Croft, W.B.: A language modeling approach to information retrieval. In: Proceed-
ings of the 21st Annual International ACM SIGIR Conference on Research and Development
in Information Retrieval (SIGIR 1998), pp. 275-281 (1998)
58. Qin, T., Liu, T.Y., Lai, W., Zhang, X.D., Wang, D.S., Li, H.: Ranking with multiple hyper-
planes. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research
and Development in Information Retrieval (SIGIR 2007), pp. 279-286 (2007)
59. Qin, T., Liu, T.Y., Li, H.: A general approximation framework for direct optimization of infor-
mation retrieval measures. Information Retrieval 13 (4), 375-397 (2009)
60. Qin, T., Liu, T.Y., Zhang, X.D., Chen, Z., Ma, W.Y.: A study of relevance propagation for web
search. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research
and Development in Information Retrieval (SIGIR 2005), pp. 408-415 (2005)
61. Qin, T., Liu, T.Y., Zhang, X.D., Wang, D., Li, H.: Learning to rank relational objects and
its application to web search. In: Proceedings of the 17th International Conference on World
Wide Web (WWW 2008), pp. 407-416 (2008)
62. Qin, T., Zhang, X.D., Tsai, M.F., Wang, D.S., Liu, T.Y., Li, H.: Query-level loss functions for
information retrieval. Information Processing and Management 44 (2), 838-855 (2008)
63. Radlinski, F., Joachims, T.: Query chain: learning to rank from implicit feedback. In: Proceed-
ings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data
Mining (KDD 2005), pp. 239-248 (2005)
64. Richardson, M., Domingos, P.: The intelligent surfer: probabilistic combination of link and
content information in pagerank. In: Advances in Neural Information Processing Systems 14
(NIPS 2001), pp. 1441-1448. MIT Press, Cambridge (2002)
65. Robertson, S.E.: Overview of the okapi projects. Journal of Documentation 53 (1), 3-7 (1997)
66. Rochhio, J.J.: Relevance feedback in information retrieval. In: The SMART Retrieval
System—Experiments in Automatic Document Processing, pp. 313-323 (1971)
67. Shakery, A., Zhai, C.: A probabilistic relevance propagation model for hypertext retrieval. In:
Proceedings of the 15th International Conference on Information and Knowledge Manage-
ment (CIKM 2006), pp. 550-558 (2006)
68. Shashua, A., Levin, A.: Ranking with large margin principles: two approaches. In: Advances
in Neural Information Processing Systems 15 (NIPS 2002), pp. 937-944 (2003)