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Some highly associated classes not grouped in the same subject hierarchies, yet are relevant to users' knowledge are automatically obtained by analyzing a two\u2010year log of book circulation records from a university library. The approach employs methods from both collaborative filtering and information retrieval research to discover associated classes based on the circulation patterns of similar users. The experimental results show that classification schemes can be, therefore, made more adaptable to changes of users and the uses of different library collections. The implications for applications in information organization and retrieval are also discussed.<\/jats:p>","DOI":"10.1002\/meet.1450390121","type":"journal-article","created":{"date-parts":[[2005,1,31]],"date-time":"2005-01-31T11:18:26Z","timestamp":1107170306000},"page":"194-203","source":"Crossref","is-referenced-by-count":0,"title":["Discovery of user\u2010oriented class associations for enriching library classification schemes"],"prefix":"10.1002","volume":"39","author":[{"given":"Hsiao\u2010Tieh","family":"Pu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2005,1,31]]},"reference":[{"key":"e_1_2_6_2_1","doi-asserted-by":"publisher","DOI":"10.1002\/(SICI)1097-4571(199109)42:8<546::AID-ASI2>3.0.CO;2-H"},{"issue":"2","key":"e_1_2_6_3_1","first-page":"90","article-title":"Circulation analysis as a tool for collection development","volume":"19","author":"Bertland L. 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