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In two sets of controlled experiments, we compare our personalized categorization system (PCAT) with a list interface system (LIST) that mimics a typical search engine and with a nonpersonalized categorization system (CAT). In both experiments, we analyze system performances on the basis of the type of task and query length. We find that PCAT is preferable to LIST for information gathering types of tasks and for searches with short queries, and PCAT outperforms CAT in both information gathering and finding types of tasks, and for searches associated with free-form queries. From the subjects' answers to a questionnaire, we find that PCAT is perceived as a system that can find relevant Web pages quicker and easier than LIST and CAT.<\/jats:p>","DOI":"10.1145\/1198296.1198301","type":"journal-article","created":{"date-parts":[[2007,4,5]],"date-time":"2007-04-05T19:20:08Z","timestamp":1175800808000},"page":"5","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":98,"title":["Interest-based personalized search"],"prefix":"10.1145","volume":"25","author":[{"given":"Zhongming","family":"Ma","sequence":"first","affiliation":[{"name":"The University of Utah, UT"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gautam","family":"Pant","sequence":"additional","affiliation":[{"name":"The University of Utah, UT"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Olivia R. 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