{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T13:25:09Z","timestamp":1742995509477,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":18,"publisher":"Springer Singapore","isbn-type":[{"type":"print","value":"9789811036132"},{"type":"electronic","value":"9789811036149"}],"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":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-981-10-3614-9_48","type":"book-chapter","created":{"date-parts":[[2017,1,7]],"date-time":"2017-01-07T00:02:41Z","timestamp":1483747361000},"page":"394-399","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Collaborative Rating Prediction Based on Dynamic Evolutionary Heterogeneous Clustering"],"prefix":"10.1007","author":[{"given":"Jianrui","family":"Chen","sequence":"first","affiliation":[]},{"family":"Uliji","sequence":"additional","affiliation":[]},{"given":"Hua","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Chunxia","family":"Zhao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,1,8]]},"reference":[{"key":"48_CR1","first-page":"4","volume":"47","author":"LI Gai","year":"2011","unstructured":"Gai, L.I., Lei, L.I., Polytechnic, S.: Collaborative itering algorithm based on matrix decomposition. Comput. Eng. Appl. 47, 4\u20137 (2011)","journal-title":"Comput. Eng. Appl."},{"key":"48_CR2","first-page":"97","volume":"2","author":"Y Cai","year":"2010","unstructured":"Cai, Y., Leung, H., Li, Q., Min, H., Tang, J., Li, J.: Typicality-based collaborative filtering recommendation. IEEE Trans. Knowl. Data Eng. 2, 97\u2013104 (2010)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"48_CR3","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.jnca.2016.05.006","volume":"70","author":"J Niu","year":"2016","unstructured":"Niu, J., Wang, L., Liu, X., Yu, S.: Fusing user and item information to deal with data sparsity by using side information in recommendation systems. J. Netw. Comput. Appl. 70, 41\u201350 (2016)","journal-title":"J. Netw. Comput. Appl."},{"key":"48_CR4","doi-asserted-by":"crossref","unstructured":"Wang, S., Gong, M., Ma, L., Cai, Q., Jiao, L.: Decomposition based multiobjective evolutionary algorithm for collaborative filtering recommender systems. In: IEEE Congress on Evolutionary Computation (CEC), pp. 672\u2013679. IEEE Press, Beijing (2014)","DOI":"10.1109\/CEC.2014.6900333"},{"key":"48_CR5","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/MCI.2014.2369894","volume":"10","author":"Y Zuo","year":"2015","unstructured":"Zuo, Y., Gong, M., Zeng, J., Ma, L.: Personalized recommendation based on evolutionary multi-objective optimization. IEEE Comput. Intell. Mag. 10, 52\u201362 (2015)","journal-title":"IEEE Comput. Intell. Mag."},{"key":"48_CR6","unstructured":"Sarwar, B.M., Karypis, G., Konstan, J., Riedl, J.: Recommender systems for large-scale E-commerce: scalable neighborhood formation using clustering. In: Conference on Computer and Information Technology, Hong Kong (2002)"},{"key":"48_CR7","doi-asserted-by":"crossref","unstructured":"Xue, G.R., Lin, C., Yang, Q., Xi, W.S., Zeng, H.J., Yu, Y., et al.: Scalable collaborative filtering using cluster-based smoothing. In: Proceedings of SIGIR 2006, pp. 114\u2013121. ACM Press, Brazil (2005)","DOI":"10.1145\/1076034.1076056"},{"key":"48_CR8","doi-asserted-by":"crossref","unstructured":"Honda, K., Notsu, A., Ichihashi, H.: Collaborative filtering by sequential extraction of user-item clusters based on structural balancing approach. In: IEEE International Conference on Fuzzy Systems, pp. 1540\u20131545. IEEE Press, Fuzz-IEEE (2009)","DOI":"10.1109\/FUZZY.2009.5277251"},{"key":"48_CR9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.elerap.2016.05.001","volume":"18","author":"CL Liao","year":"2016","unstructured":"Liao, C.L., Lee, S.J.: A clustering based approach to improving the efficiency of collaborative filtering recommendation. Electron. Commer. Res. Appl. 18, 1\u20139 (2016)","journal-title":"Electron. Commer. Res. Appl."},{"key":"48_CR10","unstructured":"Ba, Q., Li, X., Bai, Z.: Clustering collaborative filtering recommendation system based on SVD algorithm. In: 2013 4th IEEE International Conference on Software Engineering and Service Science (ICSESS), pp. 963\u2013967. IEEE Press, Beijing (2013)"},{"key":"48_CR11","doi-asserted-by":"publisher","first-page":"893","DOI":"10.1109\/TKDE.2012.32","volume":"25","author":"J Shao","year":"2013","unstructured":"Shao, J., He, X., Bohm, C., Yang, Q., Plant, C.: Synchronization-inspired partitioning and hierarchical clustering. IEEE Trans. Knowl. Data Eng. 25, 893\u2013905 (2013)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"48_CR12","doi-asserted-by":"publisher","first-page":"033104","DOI":"10.1063\/1.4886695","volume":"24","author":"J Wu","year":"2014","unstructured":"Wu, J., Jiao, Y.: Clustering dynamics of complex discrete-time networks and its application in community detection. Chaos 24, 033104 (2014)","journal-title":"Chaos"},{"key":"48_CR13","doi-asserted-by":"publisher","first-page":"568","DOI":"10.1016\/j.physa.2015.09.066","volume":"443","author":"J Wu","year":"2016","unstructured":"Wu, J., Zhang, L., Li, Y., Jiao, Y.: Partition signed social networks via clustering dynamics. Phys. A 443, 568\u2013582 (2016)","journal-title":"Phys. A"},{"key":"48_CR14","doi-asserted-by":"publisher","first-page":"482","DOI":"10.1016\/j.physa.2015.12.006","volume":"447","author":"J Chen","year":"2016","unstructured":"Chen, J., Wang, H., Wang, L., Liu, W.: A dynamic evolutionary clustering perspective: Community detection in signed networks by reconstructing neighbor sets. Phys. A 447, 482\u2013492 (2016)","journal-title":"Phys. A"},{"key":"48_CR15","volume-title":"Introduction to Modern Information Retrieval","author":"G Salton","year":"1983","unstructured":"Salton, G., McGill, M.: Introduction to Modern Information Retrieval. McGraw-Hill, New York (1983)"},{"key":"48_CR16","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":"48_CR17","doi-asserted-by":"crossref","unstructured":"Shardanand, U., Maes, P.: Social information filtering: algorithms for automating \u201cword of mouth\u201d. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 210\u2013217. ACM Press (1995)","DOI":"10.1145\/223904.223931"},{"key":"48_CR18","first-page":"189","volume":"18","author":"TC Sideris","year":"2013","unstructured":"Sideris, T.C.: Ordinary differential equations and dynamical systems. Atlantis Press 18, 189\u2013194 (2013)","journal-title":"Atlantis Press"}],"container-title":["Communications in Computer and Information Science","Bio-inspired Computing \u2013 Theories and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-10-3614-9_48","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,22]],"date-time":"2019-05-22T08:58:59Z","timestamp":1558515539000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-981-10-3614-9_48"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9789811036132","9789811036149"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-981-10-3614-9_48","relation":{},"ISSN":["1865-0929","1865-0937"],"issn-type":[{"type":"print","value":"1865-0929"},{"type":"electronic","value":"1865-0937"}],"subject":[],"published":{"date-parts":[[2016]]},"assertion":[{"value":"8 January 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"BIC-TA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Bio-Inspired Computing: Theories and Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Xi'an","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2016","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 October 2016","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 October 2016","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"bicta2016","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/2016.bicta.org","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}