{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,25]],"date-time":"2026-03-25T08:42:08Z","timestamp":1774428128133,"version":"3.50.1"},"reference-count":12,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2018]]},"DOI":"10.1587\/transinf.2017edl8039","type":"journal-article","created":{"date-parts":[[2017,12,31]],"date-time":"2017-12-31T17:29:49Z","timestamp":1514741389000},"page":"244-248","source":"Crossref","is-referenced-by-count":3,"title":["An Approach to Effective Recommendation Considering User Preference and Diversity Simultaneously"],"prefix":"10.1587","volume":"E101.D","author":[{"given":"Sang-Chul","family":"LEE","sequence":"first","affiliation":[{"name":"Department of Electronics and Computer Engineering, Hanyang University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sang-Wook","family":"KIM","sequence":"additional","affiliation":[{"name":"Department of Computer and Software, Hanyang University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sunju","family":"PARK","sequence":"additional","affiliation":[{"name":"School of Business, Yonsei University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong-Kyu","family":"CHAE","sequence":"additional","affiliation":[{"name":"Department of Computer and Software, Hanyang University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"532","reference":[{"key":"1","unstructured":"[1] R. Boim, T. Milo, and S. Novgorodov, \u201cDiRec: Diversified recommendations for semantic-less collaborative filtering,\u201d Proc. 27th IEEE Conf. on Data Engineering, pp.1312-1315, April 2011. 10.1109\/icde.2011.5767942"},{"key":"2","unstructured":"[2] R. Boim, T. Milo, and S. Novgorodov, \u201cDiversification and refinement in collaborative filtering recommender,\u201d Proc. 20th ACM Int. Conf. on Information and Knowledge Management, pp.739-744, Oct. 2011. 10.1145\/2063576.2063684"},{"key":"3","unstructured":"[3] C.-N. Ziegler, S.M. McNee, J.A. Konstan, and G. Lausen, \u201cImproving recommendation lists through topic diversification,\u201d Proc. 14th int. Conf. on World Wide Web, pp.22-32, May 2005. 10.1145\/1060745.1060754"},{"key":"4","unstructured":"[4] T. Di Noia, V.C. Ostuni, J. Rosati, P. Tomeo, and E. Di Sciascio, \u201cAn analysis of users&apos; propensity toward diversity in recommendations,\u201d Proc. 8th ACM Conf. on Recommender Systems, pp.285-288, Oct. 2014. 10.1145\/2645710.2645774"},{"key":"5","unstructured":"[5] F. Christoffel, B. Paudel, C. Newell, and A. Bernstein, \u201cBlockbusters and Wallflowers: Accurate, diverse, and scalable recommendations with random walks,\u201d Proc. 9th ACM Conf. on Recommender Systems, pp.163-170, Sept. 2015. 10.1145\/2792838.2800180"},{"key":"6","doi-asserted-by":"publisher","unstructured":"[6] X. Su and T.M. Khoshgoftaar, \u201cA survey of collaborative filtering techniques,\u201d Advances in Artificial Intelligence, vol.2009, Article ID 421425, Jan. 2009. 10.1155\/2009\/421425","DOI":"10.1155\/2009\/421425"},{"key":"7","unstructured":"[7] W.-S. Hwang, J. Parc, S.-W. Kim, J. Lee, and D. Lee, \u201c\u201cTold you I didn&apos;t like it\u201d: Exploiting uninteresting items for effective collaborative filtering,\u201d Proc. 32nd IEEE Conf. on Data Engineering, pp.349-360, May 2016. 10.1109\/icde.2016.7498253"},{"key":"8","doi-asserted-by":"publisher","unstructured":"[8] W.-S. Hwang, H.-J. Lee, S.-W. Kim, Y. Won, and M.-S. Lee, \u201cEfficient recommendation methods using category experts for a large dataset,\u201d Information Fusion, vol.28, pp.75-82, March 2016. 10.1016\/j.inffus.2015.07.005","DOI":"10.1016\/j.inffus.2015.07.005"},{"key":"9","unstructured":"[9] X. Zhu, J. Guo, X. Cheng, P. Du, and H.-W. Shen, \u201cA unified framework for recommending diverse and relevant queries,\u201d Proc. 20th ACM Conf. on World Wide Web, pp.37-46, April 2011. 10.1145\/1963405.1963415"},{"key":"10","unstructured":"[10] J. Ha, S.-H. Kwon, S.-W. Kim, C. Faloutsos, and S. Park, \u201cTop-N recommendation through belief propagation,\u201d Proc. 21st ACM Conf. on Information and Knowledge Management, pp.2343-2346, Nov. 2012. 10.1145\/2396761.2398636"},{"key":"11","doi-asserted-by":"publisher","unstructured":"[11] H.-S. Park and C.-H. Jun, \u201cA simple and fast algorithm for K-medoids clustering,\u201d Expert Systems with Applications, vol.36, no.2, pp.3336-3341, 2009 10.1016\/j.eswa.2008.01.039","DOI":"10.1016\/j.eswa.2008.01.039"},{"key":"12","doi-asserted-by":"publisher","unstructured":"[12] J. Lee, D. Lee, Y.-C. Lee, W.-S. Hwang, and S.-W. Kim, \u201cImproving the accuracy of top-<i>N<\/i> recommendation using a preference model,\u201d Information Sciences, vol.348, pp.290-304, June 2016. 10.1016\/j.ins.2016.02.005","DOI":"10.1016\/j.ins.2016.02.005"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E101.D\/1\/E101.D_2017EDL8039\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2018,1,5]],"date-time":"2018-01-05T23:19:22Z","timestamp":1515194362000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E101.D\/1\/E101.D_2017EDL8039\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"references-count":12,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2018]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2017edl8039","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018]]}}}