Modeling user behavior using a search-engine

by: Maeve O'Brien, Mark T Keane

(2007), pp. 357-360.

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Abstract

A model of user-search-engine interaction is developed using the ACT-R cognitive architecture. We test, using an empirical evaluation, the model across different result orderings and relevance distributions, demonstrating that across a number of trials, the model approximates the characteristics of large numbers of users interacting with search-engines. These results are discussed in terms of their practical implications for search interfaces and ranking algorithms.

@inproceedings{citeulike:1288767, abstract = {A model of user-search-engine interaction is developed using the ACT-R cognitive architecture. We test, using an empirical evaluation, the model across different result orderings and relevance distributions, demonstrating that across a number of trials, the model approximates the characteristics of large numbers of users interacting with search-engines. These results are discussed in terms of their practical implications for search interfaces and ranking algorithms.}, address = {New York, NY, USA}, author = {O'Brien, Maeve and Keane, Mark T. }, booktitle = {IUI '07: Proceedings of the 12th international conference on Intelligent user interfaces}, citeulike-article-id = {1288767}, doi = {10.1145/1216295.1216366}, isbn = {1595934812}, keywords = {act-r, ranking, rational\_analysis, search\_engines, web\_epistemology}, pages = {357--360}, posted-at = {2007-05-10 19:07:34}, priority = {3}, publisher = {ACM Press}, title = {Modeling user behavior using a search-engine}, url = {http://portal.acm.org/citation.cfm?id=1216366}, year = {2007} }

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TY - CONF ID - citeulike:1288767 L3 - citeulike-article-id:1288767 TI - Modeling user behavior using a search-engine T2 - IUI '07: Proceedings of the 12th international conference on Intelligent user interfaces SP - 357 EP - 360 AD - New York, NY, USA PB - ACM Press SN - 1595934812 N2 - A model of user-search-engine interaction is developed using the ACT-R cognitive architecture. We test, using an empirical evaluation, the model across different result orderings and relevance distributions, demonstrating that across a number of trials, the model approximates the characteristics of large numbers of users interacting with search-engines. These results are discussed in terms of their practical implications for search interfaces and ranking algorithms. KW - act-r KW - ranking KW - rational_analysis KW - search_engines KW - web_epistemology AU - O'Brien, Maeve AU - Keane, Mark PY - 2007/// UR - http://portal.acm.org/citation.cfm?id=1216366 ER -

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