{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:31:28Z","timestamp":1777703488617,"version":"3.51.4"},"reference-count":31,"publisher":"SAGE Publications","issue":"2","license":[{"start":{"date-parts":[[2016,12,23]],"date-time":"2016-12-23T00:00:00Z","timestamp":1482451200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2017,1,30]]},"abstract":"<jats:p>Information overload has become a very important aspect of information retrieval domain. Even if a user knows where to look for interesting information, he can have a problem with precisely formulating his information needs. A solution of the problem is personalization and recommendation system \u2013 they observe user activities, analyze them to discover important preferences. Based on these information the system can improve the effectiveness of the results. In this paper we present a method for determining user profile in a document retrieval system. We propose ontology-based profile. Such a structure allows to process semantic relations between users\u2019 queries. We focus on methods for adapting profile because only up-to-date profile can help the user to obtained results that correspond with his information needs. We present a set of postulates for adaptation methods. Performed experimental evaluations of developed methods are promising.<\/jats:p>","DOI":"10.3233\/jifs-169124","type":"journal-article","created":{"date-parts":[[2016,12,23]],"date-time":"2016-12-23T14:00:41Z","timestamp":1482501641000},"page":"1253-1263","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":8,"title":["A method for determining ontology-based user profile in\u00a0document retrieval system"],"prefix":"10.1177","volume":"32","author":[{"given":"Bernadetta","family":"Maleszka","sequence":"first","affiliation":[{"name":"Faculty of Computer Science and Management, Wroclaw University of Science and Technology, Wroclaw, Poland"}]}],"member":"179","published-online":{"date-parts":[[2016,12,23]]},"reference":[{"issue":"12","key":"e_1_3_1_2_2","first-page":"1808","article-title":"A method for collaborative argumentation in merging individual ontologies","volume":"19","author":"Agnol J.","year":"2013","unstructured":"AgnolJ. and TaclaC., A method for collaborative argumentation in merging individual ontologies, Journal of Universal Computer Science19(12) (2013), 1808\u20131833.","journal-title":"Journal of Universal Computer Science"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.3233\/AIC-2008-0437"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s40595-014-0034-5"},{"key":"e_1_3_1_5_2","first-page":"59","article-title":"Recommending topics for self-descriptions in online user profiles","author":"Geyer W.","unstructured":"GeyerW., DuganC., MillenD.R., MullerM. and FreyneJ., Recommending topics for self-descriptions in online user profiles, Proc RecSys\u201908 pp. 59\u201366. 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