Author: Xing Yi

Publication Overview

Publication period start: 2009
Number of co-authors: 4

Co-Authors

Number of publications with favourite co-authors

Productive Colleagues

Most productive colleagues in number of publications

Publications

Yi, Xing, Allan, James, Croft, W. Bruce (2007): Matching resumes and jobs based on relevance models. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2007, . pp. 809-810. https://doi.acm.org/10.1145/1277741.1277920
Yi, Xing, Allan, James (2008): Evaluating topic models for information retrieval. In: Shanahan, James G., Amer-Yahia, Sihem, Manolescu, Ioana, Zhang, Yi, Evans, David A., Kolcz, Aleksander, Choi, Key-Sun, Chowdhury, Abdur (eds.) Proceedings of the 17th ACM Conference on Information and Knowledge Management - CIKM 2008 October 26-30, 2008, Napa Valley, California, USA. pp. 1431-1432. https://doi.acm.org/10.1145/1458082.1458317
Yi, Xing, Raghavan, Hema, Leggetter, Chris (2009): Discovering users\' specific geo intention in web search. In: Proceedings of the 2009 International Conference on the World Wide Web , 2009, . pp. 481-490. https://doi.acm.org/10.1145/1526709.1526774
Yi, Xing, Allan, James (2010): A content based approach for discovering missing anchor text for web search. In: Proceedings of the 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2010, . pp. 427-434. https://doi.acm.org/10.1145/1835449.1835521
Yi, Xing, Allan, James (2009): A Comparative Study of Utilizing Topic Models for Information Retrieval. In: Boughanem, Mohand, Berrut, Catherine, Mothe, Josiane, Soulé-Dupuy, Chantal (eds.) Advances in Information Retrieval - 31th European Conference on IR Research - ECIR 2009 April 6-9, 2009, 2009, Toulouse, France. pp. 29-41. https://dx.doi.org/10.1007/978-3-642-00958-7_6

Privacy Settings

By using this site, you accept our Cookie Policy and Terms of Use.
Customize
Accept all

Learn Design and AI From the Best

Get one powerful email each week, like 315,233 others.

Next email in: