A comparison of LSA, wordNet and PMI-IR for predicting user click behavior Export

@inproceedings{citeulike:516523, 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.}, address = {New York, NY, USA}, author = {Kaur, Ishwinder and Hornof, Anthony J.}, booktitle = {CHI '05: Proceedings of the SIGCHI conference on Human factors in computing systems}, citeulike-article-id = {516523}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1054980}, citeulike-linkout-1 = {http://dx.doi.org/10.1145/1054972.1054980}, comment = {[Kaur and Hornof, 2005] Kaur, I and Hornof, A. J., A comparison of LSA, wordNet and PMI-IR for predicting user click behavior, CHI '05: Proceedings of the SIGCHI conference on Human factors in computing systems, p. 51, 2005.}, doi = {10.1145/1054972.1054980}, isbn = {1-58113-998-5}, keywords = {chi05, interfaces, lsa, pmi-ir, prediction}, location = {Portland, Oregon, USA}, pages = {51--60}, posted-at = {2007-05-02 17:47:26}, priority = {2}, publisher = {ACM}, title = {A comparison of LSA, wordNet and PMI-IR for predicting user click behavior}, url = {http://dx.doi.org/10.1145/1054972.1054980}, year = {2005} }

TY - CONF ID - citeulike:516523 L3 - citeulike-article-id:516523 N2 - 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. CY - Portland, Oregon, USA SN - 1-58113-998-5 AD - New York, NY, USA EP - 60 TI - A comparison of LSA, wordNet and PMI-IR for predicting user click behavior PB - ACM T2 - CHI '05: Proceedings of the SIGCHI conference on Human factors in computing systems SP - 51 KW - chi05 KW - interfaces KW - lsa KW - pmi-ir KW - prediction N1 - [Kaur and Hornof, 2005] Kaur, I and Hornof, A. J., A comparison of LSA, wordNet and PMI-IR for predicting user click behavior, CHI '05: Proceedings of the SIGCHI conference on Human factors in computing systems, p. 51, 2005. AU - Kaur, Ishwinder AU - Hornof, Anthony PY - 2005/// UR - http://dx.doi.org/10.1145/1054972.1054980 ER -