{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T07:18:29Z","timestamp":1780989509803,"version":"3.54.1"},"reference-count":19,"publisher":"Institute of Electronics, Information and Communications Engineers (IEICE)","issue":"8","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEICE Trans. Inf. &amp; Syst."],"published-print":{"date-parts":[[2018,8,1]]},"DOI":"10.1587\/transinf.2017edp7387","type":"journal-article","created":{"date-parts":[[2018,7,31]],"date-time":"2018-07-31T23:13:22Z","timestamp":1533078802000},"page":"2027-2034","source":"Crossref","is-referenced-by-count":15,"title":["A Novel Recommendation Algorithm Incorporating Temporal Dynamics, Reviews and Item Correlation"],"prefix":"10.1587","volume":"E101.D","author":[{"given":"Ting","family":"WU","sequence":"first","affiliation":[{"name":"College of Computer Science, Chongqing University"},{"name":"Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yong","family":"FENG","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University"},{"name":"Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"JiaXing","family":"SANG","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University"},{"name":"Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"BaoHua","family":"QIANG","sequence":"additional","affiliation":[{"name":"Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology"},{"name":"Guangxi Cooperative Innovation Center of cloud computing and Big Data, Guilin University of Electronic Technology"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"YaNan","family":"WANG","sequence":"additional","affiliation":[{"name":"College of Computer Science, Chongqing University"},{"name":"Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"532","reference":[{"key":"1","doi-asserted-by":"crossref","unstructured":"[1] Y. Bao, H. Fang, and J. Zhang, \u201cTopicmf: simultaneously exploiting ratings and reviews for recommendation,\u201d Twenty-Eighth AAAI Conference on Artifi. Intelli., pp.2-8, 2014.","DOI":"10.1609\/aaai.v28i1.8715"},{"key":"2","doi-asserted-by":"crossref","unstructured":"[2] T. Chen, W.-L. Han, H.-D. Wang, Y.-X. Zhou, B. Xu, and B.-Y. Zang, \u201cContent recommendation system based on private dynamic user profile,\u201d International Conference on Machine Learning and Cybernetics, pp.2112-2118, 2007. 10.1109\/icmlc.2007.4370493","DOI":"10.1109\/ICMLC.2007.4370493"},{"key":"3","doi-asserted-by":"crossref","unstructured":"[3] W. Chu and S.-T. Park, \u201cPersonalized recommendation on dynamic content using predictive bilinear models,\u201d International Conference on World Wide Web, pp.691-700, 2009. 10.1145\/1526709.1526802","DOI":"10.1145\/1526709.1526802"},{"key":"4","unstructured":"[4] G. Ganu, N. Elhadad, and A. Marian, \u201cBeyond the stars: Improving rating predictions using review text content,\u201d International Workshop on the Web and Databases, WEBDB 2009, Providence, Rhode Island, USA, June, 2009."},{"key":"5","doi-asserted-by":"crossref","unstructured":"[5] N. Koenigstein, G. Dror, and Y. Koren, \u201cYahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy,\u201d ACM Conference on Recommender Systems, pp.165-172, 2011. 10.1145\/2043932.2043964","DOI":"10.1145\/2043932.2043964"},{"key":"6","doi-asserted-by":"crossref","unstructured":"[6] Y. Koren, \u201cCollaborative filtering with temporal dynamics,\u201d pp.447-456, 2009. 10.1145\/1557019.1557072","DOI":"10.1145\/1557019.1557072"},{"key":"7","doi-asserted-by":"publisher","unstructured":"[7] Y. Koren, R. Bell, and C. Volinsky, \u201cMatrix factorization techniques for recommender systems,\u201d Computer, vol.42, no.8, pp.30-37, 2009. 10.1109\/mc.2009.263","DOI":"10.1109\/MC.2009.263"},{"key":"8","doi-asserted-by":"crossref","unstructured":"[8] D. Liang, J. Altosaar, L. Charlin, and D.M. Blei, \u201cFactorization meets the item embedding: Regularizing matrix factorization with item co-occurrence,\u201d ACM Conference on Recommender Systems, pp.59-66, 2016. 10.1145\/2959100.2959182","DOI":"10.1145\/2959100.2959182"},{"key":"9","doi-asserted-by":"crossref","unstructured":"[9] C.D. Manning, M. Surdeanu, J. Bauer, J. Finkel, S.J. Bethard, and D. Mcclosky, \u201cThe stanford corenlp natural language processing toolkit,\u201d Meeting of the Association for Computational Linguistics: System Demonstrations, pp.55-60, 2014. 10.3115\/v1\/p14-5010","DOI":"10.3115\/v1\/P14-5010"},{"key":"10","doi-asserted-by":"crossref","unstructured":"[10] J. McAuley and J. Leskovec, \u201cHidden factors and hidden topics: understanding rating dimensions with review text,\u201d ACM Conference on Recommender Systems, pp.165-172, 2013. 10.1145\/2507157.2507163","DOI":"10.1145\/2507157.2507163"},{"key":"11","doi-asserted-by":"crossref","unstructured":"[11] J.J. Mcauley and J. Leskovec, \u201cFrom amateurs to connoisseurs:modeling the evolution of user expertise through online reviews,\u201d pp.897-908, 2013. 10.1145\/2488388.2488466","DOI":"10.1145\/2488388.2488466"},{"key":"12","doi-asserted-by":"crossref","unstructured":"[12] S. Moghaddam and M. Ester, \u201cOn the design of LDA models for aspect-based opinion mining,\u201d ACM International Conference on Information and Knowledge Management, pp.803-812, 2012. 10.1145\/2396761.2396863","DOI":"10.1145\/2396761.2396863"},{"key":"13","doi-asserted-by":"crossref","unstructured":"[13] S. Mukherjee, H. Lamba, and G. Weikum, \u201cExperience-aware item recommendation in evolving review communities,\u201d IEEE International Conference on Data Mining, pp.925-930, 2016. 10.1109\/icdm.2015.111","DOI":"10.1109\/ICDM.2015.111"},{"key":"14","doi-asserted-by":"crossref","unstructured":"[14] S. Mukherjee, S. G\u00fcnnemann, and G. Weikum, \u201cContinuous experience-aware language model,\u201d ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.1075-1084, 2016. 10.1145\/2939672.2939780","DOI":"10.1145\/2939672.2939780"},{"key":"15","unstructured":"[15] S. Wang, F. Li, and M. Zhang, \u201cSupervised topic model with consideration of user and item,\u201d Workshops at the Twenty-Seventh AAAI Conference on Artifi. Intelli., 2013. 10.1109\/fskd.2010.5569528"},{"key":"16","doi-asserted-by":"crossref","unstructured":"[16] L. Xiang, Q. Yuan, S. Zhao, L. Chen, X. Zhang, Q. Yang, and J. Sun, \u201cTemporal recommendation on graphs via long- and short-term preference fusion,\u201d ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.723-732, 2010. 10.1145\/1835804.1835896","DOI":"10.1145\/1835804.1835896"},{"key":"17","doi-asserted-by":"publisher","unstructured":"[17] H. Yin, B. Cui, L. Chen, Z. Hu, and X. Zhou, \u201cDynamic user modeling in social media systems,\u201d ACM Trans. Information Systems, vol.33, no.3, p.10, 2015. 10.1145\/2699670","DOI":"10.1145\/2699670"},{"key":"18","doi-asserted-by":"crossref","unstructured":"[18] Q. Yuan, G. Cong, Z. Ma, A. Sun, and N.M.-Thalmann, \u201cTime-aware point-of-interest recommendation,\u201d International ACM SIGIR Conference on Research and Development in Information Retrieval, pp.363-372, 2013. 10.1145\/2484028.2484030","DOI":"10.1145\/2484028.2484030"},{"key":"19","doi-asserted-by":"crossref","unstructured":"[19] Y. Zhang, M. Zhang, Y. Zhang, G. Lai, Y. Liu, H. Zhang, and S. Ma, \u201cDaily-aware personalized recommendation based on feature-level time series analysis,\u201d International Conference on World Wide Web, pp.1373-1383, 2015. 10.1145\/2736277.2741087","DOI":"10.1145\/2736277.2741087"}],"container-title":["IEICE Transactions on Information and Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E101.D\/8\/E101.D_2017EDP7387\/_pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,28]],"date-time":"2022-08-28T14:54:37Z","timestamp":1661698477000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.jstage.jst.go.jp\/article\/transinf\/E101.D\/8\/E101.D_2017EDP7387\/_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,8,1]]},"references-count":19,"journal-issue":{"issue":"8","published-print":{"date-parts":[[2018]]}},"URL":"https:\/\/doi.org\/10.1587\/transinf.2017edp7387","relation":{},"ISSN":["0916-8532","1745-1361"],"issn-type":[{"value":"0916-8532","type":"print"},{"value":"1745-1361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,8,1]]}}}