creators_name: Guo, Fan creators_name: Liu, Chao creators_name: Kannan, Anitha creators_name: Minka, Tom creators_name: Taylor, Michael creators_name: Wang, Yi-Min creators_name: Faloutsos, Christos type: conference_item datestamp: 2009-04-06 19:08:33 lastmod: 2009-04-22 16:11:43 metadata_visibility: show title: Click Chain Model in Web Search ispublished: pub full_text_status: public pres_type: paper abstract: Given a terabyte click log, can we build an efficient and effective click model? It is commonly believed that web search click logs are a gold mine for search business, because they reflect users’ preference over web documents presented by the search engine. Click models provide a principled approach to inferring user-perceived relevance of web documents, which can be leveraged in numerous applications in search businesses. Due to the huge volume of click data, scalability is a must. We present the click chain model (CCM), which is based on a solid, Bayesian framework. It is both scalable and incremental, perfectly meeting the computational challenges imposed by the voluminous click logs that constantly grow. We conduct an extensive experimental study on a data set containing 8.8 million query sessions obtained in July 2008 from a commercial search engine. CCM consistently outperforms two state-of-the-art competitors in a number of metrics, with over 9.7% better log-likelihood, over 6.2% better click perplexity and much more robust (up to 30%) prediction of the first and the last clicked position. date: 2009-04 pagerange: 11-11 event_title: 18th International World Wide Web Conference event_location: Madrid, Spain event_dates: April 20th-24th, 2009 event_type: conference refereed: TRUE citation: Guo, Fan and Liu, Chao and Kannan, Anitha and Minka, Tom and Taylor, Michael and Wang, Yi-Min and Faloutsos, Christos (2009) Click Chain Model in Web Search. In: 18th International World Wide Web Conference, April 20th-24th, 2009, Madrid, Spain. document_url: http://www2009.eprints.org/2/1/p11.pdf document_url: http://www2009.eprints.org/2/2/www09_ccm.ppt