Predictive modeling of first-click behavior in web-search Export

@inproceedings{citeulike:883745, abstract = {Search engine results are usually presented in some form of text summary (e.g., document title, some snippets of the page's content, a URL, etc). Based on the information contained within these summaries users make relevance judgments about what links best suit their information needs. Current research suggests that these relevance judgments are in the service of some search strategy. In this paper, we model two different search strategies (the comparison and threshold strategies) and determine how well they fit data gathered from an experiment on user search within a simulated Google environment.}, address = {New York, NY, USA}, author = {O'Brien, Maeve and Keane, Mark T. and Smyth, Barry}, booktitle = {WWW '06: Proceedings of the 15th international conference on World Wide Web}, citeulike-article-id = {883745}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1135777.1136000}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1135777.1136000}, doi = {10.1145/1135777.1136000}, isbn = {1595933239}, keywords = {information\_scent, search\_engines, web\_epistemology}, pages = {1031--1032}, posted-at = {2006-10-04 16:04:51}, priority = {3}, publisher = {ACM Press}, title = {Predictive modeling of first-click behavior in web-search}, url = {http://dx.doi.org/10.1145/1135777.1136000}, year = {2006} }

TY - CONF ID - citeulike:883745 L3 - citeulike-article-id:883745 N2 - Search engine results are usually presented in some form of text summary (e.g., document title, some snippets of the page's content, a URL, etc). Based on the information contained within these summaries users make relevance judgments about what links best suit their information needs. Current research suggests that these relevance judgments are in the service of some search strategy. In this paper, we model two different search strategies (the comparison and threshold strategies) and determine how well they fit data gathered from an experiment on user search within a simulated Google environment. SN - 1595933239 AD - New York, NY, USA EP - 1032 TI - Predictive modeling of first-click behavior in web-search PB - ACM Press T2 - WWW '06: Proceedings of the 15th international conference on World Wide Web SP - 1031 KW - information_scent KW - search_engines KW - web_epistemology AU - O'Brien, Maeve AU - Keane, Mark AU - Smyth, Barry PY - 2006/// UR - http://dx.doi.org/10.1145/1135777.1136000 ER -