Список литературы

Статьи

1. Optimizing search engines using clickthrough data, Thorsten Joachims. 2002. In Proceedings of the 8th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '02). ACM, New York, NY, USA, 133-142. (acm.org)

2. Accurately interpreting clickthrough data as implicit feedback, Thorsten Joachims, Laura Granka, Bing Pan, Helene Hembrooke, and Geri Gay. 2005. In Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '05). ACM, New York, NY, USA, 154-161. (acm.org)

3. Improving web search ranking by incorporating user behavior information, Eugene Agichtein, Eric Brill, and Susan Dumais. 2006. In Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '06). ACM, New York, NY, USA, 19-26. (acm.org)

4. An experimental comparison of click position-bias models, Nick Craswell, Onno Zoeter, Michael Taylor, and Bill Ramsey. 2008. In Proceedings of the international conference on Web search and web data mining (WSDM '08). ACM, New York, NY, USA, 87-94. (acm.org)

5. A user browsing model to predict search engine click data from past observations, Georges E. Dupret and Benjamin Piwowarski. 2008. In Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '08). ACM, New York, NY, USA, 331-338. (acm.org)

6. Click chain model in web search, Fan Guo, Chao Liu, Anitha Kannan, Tom Minka, Michael Taylor, Yi-Min Wang, and Christos Faloutsos. 2009. In Proceedings of the 18th international conference on World wide web (WWW '09). ACM, New York, NY, USA, 11-20. (acm.org)

7. A dynamic bayesian network click model for web search ranking, Olivier Chapelle and Ya Zhang. 2009. In Proceedings of the 18th international conference on World wide web (WWW '09). ACM, New York, NY, USA, 1-10. (acm.org)

8. PSkip: estimating relevance ranking quality from web search clickthrough data, Kuansan Wang, Toby Walker, and Zijian Zheng. 2009. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '09). ACM, New York, NY, USA, 1355-1364. (acm.org)

9. Incorporating post-click behaviors into a click model Feimin Zhong, Dong Wang, Gang Wang, Weizhu Chen, Yuchen Zhang, Zheng Chen, and Haixun Wang. 2010. In Proceeding of the 33rd international ACM SIGIR conference on Research and development in information retrieval (SIGIR '10). ACM, New York, NY, USA, 355-362. (acm.org)

10. A model to estimate intrinsic document relevance from the clickthrough logs of a web search engine, Georges Dupret and Ciya Liao. 2010. In Proceedings of the third ACM international conference on Web search and data mining (WSDM '10). ACM, New York, NY, USA, 181-190. (acm.org)

12. Bayesian Browsing Model: Exact Inference of Document Relevance from Petabyte-Scale Data, Chao Liu, Fan Guo, and Christos Faloutsos. 2010. ACM Trans. Knowl. Discov. Data 4, 4, Article 19 (October 2010), 26 pages. (acm.org)

13. User browsing models: relevance versus examination, Ramakrishnan Srikant, Sugato Basu, Ni Wang, and Daryl Pregibon. 2010. In Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '10). ACM, New York, NY, USA, 223-232. (acm.org)

14. Characterizing search intent diversity into click models, Botao Hu, Yuchen Zhang, Weizhu Chen, Gang Wang, and Qiang Yang. 2011. In Proceedings of the 20th international conference on World wide web (WWW '11). ACM, New York, NY, USA, 17-26. (acm.org)

15. User-click modeling for understanding and predicting search-behavior, Yuchen Zhang, Weizhu Chen, Dong Wang, and Qiang Yang. 2011. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD '11). ACM, New York, NY, USA, 1388-1396. (acm.org)

Слайды

1. Statistical Models for Web Search Clicks Log Analysis, Fan Guo, Chao Liu. CIKM 2009 Tutorial, November 2-6, 2009. (cs.cmu.edu)

2. Enhancing Web Search by Mining Search and Browse Logs, Daxin Jiang, Jian Pei, Hang Li. SIGIR 2011 Tutorial, July 24, 2011. (research.microsoft.com)