Findex: search result categories help users when document ranking fails Export

@inproceedings{citeulike:815424, abstract = {Machine learning (ML) is a complex process that can hardly be carried out by non-expert users. Especially when using adaptive systems that interpret and exploit observations of the user to modify their behavior according to the user's perceived preferences, even na\"{i}ve users may be confronted with learning systems. This paper presents an approach to make non-expert users understand and influence an ML system such as to improve trust and acceptance of the overall system behavior.}, address = {New York, NY, USA}, author = {K\"{a}ki, Mika}, booktitle = {CHI '05: Proceedings of the SIGCHI conference on Human factors in computing systems}, citeulike-article-id = {815424}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1054991}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1054972.1054991}, doi = {10.1145/1054972.1054991}, isbn = {1-58113-998-5}, keywords = {categorization--automatic, clustering, search-results-display, web-searching}, location = {Portland, Oregon, USA}, pages = {131--140}, posted-at = {2007-06-05 00:18:02}, priority = {0}, publisher = {ACM}, title = {Findex: search result categories help users when document ranking fails}, url = {http://dx.doi.org/10.1145/1054972.1054991}, year = {2005} }

TY - CONF ID - citeulike:815424 L3 - citeulike-article-id:815424 N2 - Machine learning (ML) is a complex process that can hardly be carried out by non-expert users. Especially when using adaptive systems that interpret and exploit observations of the user to modify their behavior according to the user's perceived preferences, even naïve users may be confronted with learning systems. This paper presents an approach to make non-expert users understand and influence an ML system such as to improve trust and acceptance of the overall system behavior. CY - Portland, Oregon, USA SN - 1-58113-998-5 AD - New York, NY, USA EP - 140 TI - Findex: search result categories help users when document ranking fails PB - ACM T2 - CHI '05: Proceedings of the SIGCHI conference on Human factors in computing systems SP - 131 KW - categorization--automatic KW - clustering KW - search-results-display KW - web-searching AU - Käki, Mika PY - 2005/// UR - http://dx.doi.org/10.1145/1054972.1054991 ER -