Author: Emre Velipasaoglu

Publications

Publication period start: 2012
Number of co-authors: 9

Co-authors

Number of publications with favourite co-authors
Hinrich Schütze
2
Jan O. Pedersen
2
Umut Ozertem
2

Productive Colleagues

Most productive colleagues in number of publications
Srinivas Vadrevu
6
Ali Dasdan
7
Jan O. Pedersen
13

Publications

Velipasaoglu, Emre, Schütze, Hinrich, Pedersen, Jan O. (2007): Improving active learning recall via disjunctive boolean constraints. In: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2007, . pp. 893-894. https://doi.acm.org/10.1145/1277741.1277962

Schütze, Hinrich, Velipasaoglu, Emre, Pedersen, Jan O. (2006): Performance thresholding in practical text classification. In: Yu, Philip S., Tsotras, Vassilis J., Fox, Edward A., Liu, Bing (eds.) Proceedings of the 2006 ACM CIKM International Conference on Information and Knowledge Management November 6-11, 2006, Arlington, Virginia, USA. pp. 662-671. https://doi.acm.org/10.1145/1183614.1183709

Dasdan, Ali, Tsioutsiouliklis, Kostas, Velipasaoglu, Emre (2010): Web search engine metrics: (direct metrics to measure user satisfaction). In: Proceedings of the 2010 International Conference on the World Wide Web , 2010, . pp. 1343-1344. https://doi.acm.org/10.1145/1772690.1772921

Vadrevu, Srinivas, Velipasaoglu, Emre (2011): Identifying primary content from web pages and its application to web search ranking. In: Proceedings of the 2011 International Conference on the World Wide Web , 2011, . pp. 135-136. https://dx.doi.org/10.1145/1963192.1963261

Jain, Alpa, Ozertem, Umut, Velipasaoglu, Emre (2011): Synthesizing high utility suggestions for rare web search queries. In: Proceedings of the 34th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2011, . pp. 805-814. https://dx.doi.org/10.1145/2009916.2010024

Ozertem, Umut, Chapelle, Olivier, Donmez, Pinar, Velipasaoglu, Emre (2012): Learning to suggest: a machine learning framework for ranking query suggestions. In: Proceedings of the 35th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , 2012, . pp. 25-34. https://dx.doi.org/10.1145/2348283.2348290

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