Author: Yuanhua Lv
Publications
Co-authors
Productive Colleagues
- Zhaohui Zheng
- Xuanhui Wang
- Chengxiang Zhai
- 13
- 17
- 64
Publications
Lv, Yuanhua, Zhai, Chengxiang (2010): Positional relevance model for pseudo-relevance feedback. In: Proceedings of the 33rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2010, . pp. 579-586. https://doi.acm.org/10.1145/1835449.1835546
Lv, Yuanhua, Zhai, Chengxiang (2009): Positional language models for information retrieval. In: Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2009, . pp. 299-306. https://doi.acm.org/10.1145/1571941.1571994
Lv, Yuanhua, Moon, Taesup, Kolari, Pranam, Zheng, Zhaohui, Wang, Xuanhui, Chang, Yi (2011): Learning to model relatedness for news recommendation. In: Proceedings of the 2011 International Conference on the World Wide Web , 2011, . pp. 57-66. https://dx.doi.org/10.1145/1963405.1963417
Lv, Yuanhua, Zhai, Chengxiang, Chen, Wan (2011): A boosting approach to improving pseudo-relevance feedback. In: Proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2011, . pp. 165-174. https://dx.doi.org/10.1145/2009916.2009942
Lv, Yuanhua, Zhai, Chengxiang (2011): When documents are very long, BM25 fails!. In: Proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2011, . pp. 1103-1104. https://dx.doi.org/10.1145/2009916.2010070
Lv, Yuanhua, Zhai, Chengxiang (2012): A log-logistic model-based interpretation of TF normalization of BM25. In: Proceedings of the 2012 BCS-IRSG European Conference on Information Retrieval , 2012, . pp. 244-255. https://dx.doi.org/10.1007/978-3-642-28997-2_21
Lv, Yuanhua, Lymberopoulos, Dimitrios, Wu, Qiang (2012): An exploration of ranking heuristics in mobile local search. In: Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2012, . pp. 295-304. https://dx.doi.org/10.1145/2348283.2348325