%0 Conference Paper %1 1054980 %A Kaur, Ishwinder %A Hornof, Anthony J. %B CHI '05: Proceedings of the SIGCHI conference on Human factors in computing systems %C New York, NY, USA %D 2005 %I ACM %K automated_evaluation information_scent semantic %P 51--60 %R http://doi.acm.org/10.1145/1054972.1054980 %T A comparison of LSA, wordNet and PMI-IR for predicting user click behavior %U http://portal.acm.org/citation.cfm?doid=1054972.1054980 %X A predictive tool to simulate human visual search behavior would help interface designers inform and validate their design. Such a tool would benefit from a semantic component that would help predict search behavior even in the absence of exact textual matches between goal and target. This paper discusses a comparison of three semantic systems-LSA, WordNet and PMI-IR-to evaluate their performance in predicting the link that people would select given an information goal and a webpage. PMI-IR best predicted human performance as observed in a user study. %@ 1-58113-998-5

@inproceedings{1054980, abstract = {A predictive tool to simulate human visual search behavior would help interface designers inform and validate their design. Such a tool would benefit from a semantic component that would help predict search behavior even in the absence of exact textual matches between goal and target. This paper discusses a comparison of three semantic systems-LSA, WordNet and PMI-IR-to evaluate their performance in predicting the link that people would select given an information goal and a webpage. PMI-IR best predicted human performance as observed in a user study.}, added-at = {2008-07-04T16:48:44.000+0200}, address = {New York, NY, USA}, author = {Kaur, Ishwinder and Hornof, Anthony J.}, biburl = {https://www.bibsonomy.org/bibtex/21143646a04b7650af931a28412f6b32c/ewomant}, booktitle = {CHI '05: Proceedings of the SIGCHI conference on Human factors in computing systems}, doi = {http://doi.acm.org/10.1145/1054972.1054980}, interhash = {ea35528c6c3ea3ca64cbbd6c6ae631ae}, intrahash = {1143646a04b7650af931a28412f6b32c}, isbn = {1-58113-998-5}, keywords = {automated_evaluation information_scent semantic}, location = {Portland, Oregon, USA}, pages = {51--60}, publisher = {ACM}, timestamp = {2008-11-17T17:10:40.000+0100}, title = {A comparison of LSA, wordNet and PMI-IR for predicting user click behavior}, url = {http://portal.acm.org/citation.cfm?doid=1054972.1054980}, year = 2005 }