{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T03:40:12Z","timestamp":1725853212202},"publisher-location":"Cham","reference-count":32,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319320540"},{"type":"electronic","value":"9783319320557"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-32055-7_2","type":"book-chapter","created":{"date-parts":[[2016,4,11]],"date-time":"2016-04-11T02:59:53Z","timestamp":1460343593000},"page":"15-26","source":"Crossref","is-referenced-by-count":7,"title":["Improving Diversity of User-Based Two-Step Recommendation Algorithm with Popularity Normalization"],"prefix":"10.1007","author":[{"given":"Xiangyu","family":"Zhao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feng","family":"Yang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhongqiang","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,4,12]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"Adamopoulos, P., Tuzhilin, A.: On over-specialization and concentration bias of recommendations: Probabilistic neighborhood selection in collaborative filtering systems.In: Proceedings of the 8th ACM Conference on Recommender Systems, pp. 153\u2013160. ACM (2014)","key":"2_CR1","DOI":"10.1145\/2645710.2645752"},{"issue":"5","key":"2_CR2","doi-asserted-by":"publisher","first-page":"896","DOI":"10.1109\/TKDE.2011.15","volume":"24","author":"G Adomavicius","year":"2012","unstructured":"Adomavicius, G., Kwon, Y.O.: Improving aggregate recommendation diversity using ranking-based techniques. IEEE Trans. Knowl. Data Eng. 24(5), 896\u2013911 (2012)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"unstructured":"Bradley, K., Smyth, B.: Improving recommendation diversity. In: Proceedings of the Twelfth Irish Conference on Artificial Intelligence and Cognitive Science, Maynooth, Ireland, pp. 85\u201394. Citeseer (2001)","key":"2_CR3"},{"unstructured":"Breese, J.S., Heckerman, D., Kadie, C.: Empirical analysis of predictive algorithms for collaborative filtering. In: Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, pp. 43\u201352. Morgan Kaufmann Publishers Inc. (1998)","key":"2_CR4"},{"key":"2_CR5","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1016\/j.dss.2013.09.008","volume":"63","author":"Y Cai","year":"2014","unstructured":"Cai, Y., Lau, R.Y.K., Liao, S.S.Y., Li, C., Leung, H.-F., Ma, L.C.K.: Object typicality for effective web of things recommendations. Decis. Support Syst. 63, 52\u201363 (2014)","journal-title":"Decis. Support Syst."},{"issue":"3","key":"2_CR6","doi-asserted-by":"publisher","first-page":"766","DOI":"10.1109\/TKDE.2013.7","volume":"26","author":"Y Cai","year":"2014","unstructured":"Cai, Y., Leung, H., Li, Q., Min, H., Tang, J., Li, J.: Typicality-based collaborative filtering recommendation. IEEE Trans. Knowl. Data Eng. 26(3), 766\u2013779 (2014)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"2","key":"2_CR7","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1007\/s11280-012-0187-z","volume":"17","author":"W Chen","year":"2014","unstructured":"Chen, W., Niu, Z., Zhao, X., Li, Y.: A hybrid recommendation algorithm adapted in e-learning environments. World Wide Web 17(2), 271\u2013284 (2014)","journal-title":"World Wide Web"},{"doi-asserted-by":"crossref","unstructured":"Cremonesi, P., Koren, Y., Turrin, R.: Performance of recommender algorithms on top-n recommendation tasks. In: Proceedings of the fourth ACM conference on Recommender systems, pp. 39\u201346. ACM (2010)","key":"2_CR8","DOI":"10.1145\/1864708.1864721"},{"unstructured":"Delgado, J., Ishii, N.: Memory-based weighted majority prediction. In: ACM SIGIR 1999 Workshop on Recommender Systems. Citeseer (1999)","key":"2_CR9"},{"doi-asserted-by":"crossref","unstructured":"Ekstrand, M.D., Harper, F.M., Willemsen, M.C., Konstan, J.A.: User perception of differences in recommender algorithms. In: Proceedings of the 8th ACM Conference on Recommender systems, pp. 161\u2013168. ACM (2014)","key":"2_CR10","DOI":"10.1145\/2645710.2645737"},{"issue":"5","key":"2_CR11","doi-asserted-by":"publisher","first-page":"697","DOI":"10.1287\/mnsc.1080.0974","volume":"55","author":"D Fleder","year":"2009","unstructured":"Fleder, D., Hosanagar, K.: Blockbuster culture\u2019s next rise or fall: The impact of recommender systems on sales diversity. Manage. Sci. 55(5), 697\u2013712 (2009)","journal-title":"Manage. Sci."},{"doi-asserted-by":"crossref","unstructured":"Garcin, F., Faltings, B., Donatsch, O., Alazzawi, A., Bruttin, C., Huber, A.: Offline and online evaluation of news recommender systems at swissinfo.ch. In: Proceedings of the 8th ACM Conference on Recommender systems, pp. 169\u2013176. ACM (2014)","key":"2_CR12","DOI":"10.1145\/2645710.2645745"},{"issue":"1","key":"2_CR13","doi-asserted-by":"publisher","first-page":"89","DOI":"10.1145\/963770.963774","volume":"22","author":"T Hofmann","year":"2004","unstructured":"Hofmann, T.: Latent semantic models for collaborative filtering. ACM Trans. Inf. Syst. (TOIS) 22(1), 89\u2013115 (2004)","journal-title":"ACM Trans. Inf. Syst. (TOIS)"},{"issue":"4","key":"2_CR14","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1145\/582415.582418","volume":"20","author":"K J\u00e4rvelin","year":"2002","unstructured":"J\u00e4rvelin, K., Kek\u00e4l\u00e4inen, J.: Cumulated gain-based evaluation of IR techniques. ACM Trans. Inf. Syst. (TOIS) 20(4), 422\u2013446 (2002)","journal-title":"ACM Trans. Inf. Syst. (TOIS)"},{"doi-asserted-by":"crossref","unstructured":"Kapoor, K., Kumar, V., Terveen, L., Konstan, J.A., Schrater, P.: I like to explore sometimes: Adapting to dynamic user novelty preferences. In: Proceedings of the 9th ACM Conference on Recommender Systems, pp. 19\u201326. ACM (2015)","key":"2_CR15","DOI":"10.1145\/2792838.2800172"},{"doi-asserted-by":"crossref","unstructured":"Koren, Y.: Factorization meets the neighborhood: a multifaceted collaborativefiltering model. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 426\u2013434. ACM (2008)","key":"2_CR16","DOI":"10.1145\/1401890.1401944"},{"doi-asserted-by":"crossref","unstructured":"Koren, Y., Sill, J.: OrdRec: An ordinal model for predicting personalized item ratingdistributions. In: Proceedings of the Fifth ACM Conference on Recommender Systems, pp. 117\u2013124. ACM (2011)","key":"2_CR17","DOI":"10.1145\/2043932.2043956"},{"key":"2_CR18","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1109\/MIS.2015.1","volume":"30","author":"X Li","year":"2015","unstructured":"Li, X., Xie, H., Song, Y., Li, Q., Shanfeng Zhu, F., Wang, L.: Does summarization help stock prediction? News impact analysis via summarization. IEEE Intell. Syst. 30, 26\u201334 (2015)","journal-title":"IEEE Intell. Syst."},{"doi-asserted-by":"crossref","unstructured":"Liu, N.N., Zhao, M., Yang, Q.: Probabilistic latent preference analysis for collaborative filtering. In: Proceedings of the 18th ACM Conference on Information and Knowledge Management, pp. 759\u2013766. ACM (2009)","key":"2_CR19","DOI":"10.1145\/1645953.1646050"},{"issue":"2","key":"2_CR20","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1023\/B:JIIS.0000039532.05533.99","volume":"23","author":"S Perugini","year":"2004","unstructured":"Perugini, S., Gon\u00e7alves, M.A., Fox, E.A.: Recommender systems research: A connection-centric survey. J. Intell. Inf. Syst. 23(2), 107\u2013143 (2004)","journal-title":"J. Intell. Inf. Syst."},{"key":"2_CR21","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-387-85820-3","volume-title":"Recommender Systems Handbook","author":"F Ricci","year":"2011","unstructured":"Ricci, F., Shapira, B.: Recommender Systems Handbook. Springer, Heidelberg (2011)"},{"doi-asserted-by":"crossref","unstructured":"Shi, Y., Karatzoglou, A., Baltrunas, L., Larson, M., Oliver, N., Hanjalic, A.: CliMF: Learning to maximize reciprocal rank with collaborativeless-is-more filtering. In: Proceedings of the Sixth ACM Conference on Recommender Systems, pp. 139\u2013146. ACM (2012)","key":"2_CR22","DOI":"10.1145\/2365952.2365981"},{"doi-asserted-by":"crossref","unstructured":"Vargas, S., Castells, P.: Improving sales diversity by recommending users to items. In: Proceedings of the 8th ACM Conference on Recommender systems, pp. 145\u2013152. ACM (2014)","key":"2_CR23","DOI":"10.1145\/2645710.2645744"},{"unstructured":"Weimer, M., Karatzoglou, A., Le, Q.V., Smola, A.J.: Cofi rank-maximum margin matrix factorization for collaborative ranking. In: Advances in Neural Information Processing Systems, pp. 1593\u20131600 (2007)","key":"2_CR24"},{"issue":"3","key":"2_CR25","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1007\/s11390-012-1247-7","volume":"27","author":"H-R Xie","year":"2012","unstructured":"Xie, H.-R., Li, Q., Cai, Y.: Community-aware resource profiling for personalized search in folksonomy. J. Comput. Sci. Technol. 27(3), 599\u2013610 (2012)","journal-title":"J. Comput. Sci. Technol."},{"doi-asserted-by":"crossref","unstructured":"Xie, H., Yu, L., Li, Q.: A hybrid semantic item model for recipe search by example. In: IEEE International Symposium on Multimedia (ISM), pp. 254\u2013259. IEEE (2010)","key":"2_CR26","DOI":"10.1109\/ISM.2010.44"},{"doi-asserted-by":"crossref","unstructured":"Zhang, M., Hurley, N.: Avoiding monotony: Improving the diversity of recommendation lists. In: Proceedings of the 2008 ACM Conference on Recommender Systems, pp. 123\u2013130. ACM (2008)","key":"2_CR27","DOI":"10.1145\/1454008.1454030"},{"key":"2_CR28","doi-asserted-by":"publisher","first-page":"46","DOI":"10.1016\/j.knosys.2013.04.009","volume":"48","author":"X Zhao","year":"2013","unstructured":"Zhao, X., Niu, Z., Chen, W.: Interest before liking: Two-step recommendation approaches. Knowl. Based Syst. 48, 46\u201356 (2013)","journal-title":"Knowl. Based Syst."},{"key":"2_CR29","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"426","DOI":"10.1007\/978-3-642-40173-2_35","volume-title":"Database and Expert Systems Applications","author":"X Zhao","year":"2013","unstructured":"Zhao, X., Niu, Z., Chen, W.: Opinion-based collaborative filtering to solve popularity bias in recommender systems. In: Decker, H., Lhotsk\u00e1, L., Link, S., Basl, J., Tjoa, A.M. (eds.) DEXA 2013, Part II. LNCS, vol. 8056, pp. 426\u2013433. Springer, Heidelberg (2013)"},{"issue":"3","key":"2_CR30","doi-asserted-by":"publisher","first-page":"335","DOI":"10.1007\/s10844-014-0334-3","volume":"44","author":"X Zhao","year":"2014","unstructured":"Zhao, X., Niu, Z., Chen, W., Shi, C., Niu, K., Liu, D.: A hybrid approach of topic model and matrix factorization based on two-step recommendation framework. J. Intell. Inf. Syst. 44(3), 335\u2013353 (2014)","journal-title":"J. Intell. Inf. Syst."},{"key":"2_CR31","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"337","DOI":"10.1007\/978-3-540-68880-8_32","volume-title":"Algorithmic Aspects in Information and Management","author":"Y Zhou","year":"2008","unstructured":"Zhou, Y., Wilkinson, D., Schreiber, R., Pan, R.: Large-scale parallel collaborative filtering for the netflix prize. In: Fleischer, R., Xu, J. (eds.) AAIM 2008. LNCS, vol. 5034, pp. 337\u2013348. Springer, Heidelberg (2008)"},{"doi-asserted-by":"crossref","unstructured":"Ziegler, C.-N., McNee, S.M., Konstan, J.A., Lausen, G.: Improving recommendation lists through topic diversification. In: Proceedings of the 14th International Conference on World Wide Web, pp. 22\u201332. ACM (2005)","key":"2_CR32","DOI":"10.1145\/1060745.1060754"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-32055-7_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T19:53:13Z","timestamp":1559418793000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-32055-7_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319320540","9783319320557"],"references-count":32,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-32055-7_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}