{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T15:36:36Z","timestamp":1775230596033,"version":"3.50.1"},"reference-count":9,"publisher":"World Scientific Pub Co Pte Lt","issue":"05","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Patt. Recogn. Artif. Intell."],"published-print":{"date-parts":[[2003,8]]},"abstract":"<jats:p> Recommender systems research combines techniques from user modeling and information filtering in order to build search systems that are better able to respond to the preferences of individual users during the search for a particular item or product. Collaborative recommenders leverage the preferences of communities of similar users in order to guide the search for relevant items. The success of collaborative recommendation has always been restrained by the so-called sparsity problem, in which a lack of available user similarity knowledge ultimately limits the formation of high-quality user communities and has a subsequent impact on recommender accuracy. This article presents an approach to addressing the sparsity problem by describing and evaluating how implicit similarity knowledge can be discovered and exploited using data-mining techniques and an approach to recommendation that is inspired by case-based reasoning research. <\/jats:p>","DOI":"10.1142\/s0218001403002678","type":"journal-article","created":{"date-parts":[[2003,7,30]],"date-time":"2003-07-30T05:45:38Z","timestamp":1059543938000},"page":"863-884","source":"Crossref","is-referenced-by-count":34,"title":["Sparsity Reduction in Collaborative Recommendation: A Case-Based Approach"],"prefix":"10.1142","volume":"17","author":[{"given":"David C.","family":"Wilson","sequence":"first","affiliation":[{"name":"Smart Media Institute, University College Dublin, Dublin 4, Ireland"}]},{"given":"Barry","family":"Smyth","sequence":"additional","affiliation":[{"name":"Smart Media Institute, University College Dublin, Dublin 4, Ireland"}]},{"given":"Derry O'","family":"Sullivan","sequence":"additional","affiliation":[{"name":"Smart Media Institute, University College Dublin, Dublin 4, Ireland"}]}],"member":"219","published-online":{"date-parts":[[2011,11,21]]},"reference":[{"key":"rf1","unstructured":"R.\u00a0Agrawal, Advances in Knowledge Discovery and Data Mining, Fast discovery of association rules (AAAI Press, 1996)\u00a0pp. 307\u2013328."},{"key":"rf2","doi-asserted-by":"publisher","DOI":"10.1145\/245108.245124"},{"key":"rf5","first-page":"462","volume":"1","author":"Burke R. D.","journal-title":"AAAI\/IAAI"},{"key":"rf7","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011419012209"},{"key":"rf13","doi-asserted-by":"crossref","unstructured":"K.\u00a0Honda, Research and Development, Collaborative filtering using principal component analysis and fuzzy clustering\u00a02198 (Springer, 2001)\u00a0pp. 394\u2013402.","DOI":"10.1007\/3-540-45490-X_50"},{"key":"rf14","doi-asserted-by":"publisher","DOI":"10.1145\/245108.245126"},{"key":"rf19","doi-asserted-by":"publisher","DOI":"10.1023\/A:1006544522159"},{"key":"rf30","first-page":"210","volume":"21","author":"Smyth B.","journal-title":"Artif. Intell. Mag."},{"key":"rf32","doi-asserted-by":"publisher","DOI":"10.1111\/0824-7935.00140"}],"container-title":["International Journal of Pattern Recognition and Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.worldscientific.com\/doi\/pdf\/10.1142\/S0218001403002678","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,6]],"date-time":"2019-08-06T22:21:04Z","timestamp":1565130064000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.worldscientific.com\/doi\/abs\/10.1142\/S0218001403002678"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2003,8]]},"references-count":9,"journal-issue":{"issue":"05","published-online":{"date-parts":[[2011,11,21]]},"published-print":{"date-parts":[[2003,8]]}},"alternative-id":["10.1142\/S0218001403002678"],"URL":"https:\/\/doi.org\/10.1142\/s0218001403002678","relation":{},"ISSN":["0218-0014","1793-6381"],"issn-type":[{"value":"0218-0014","type":"print"},{"value":"1793-6381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2003,8]]}}}