{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,9]],"date-time":"2025-12-09T15:37:59Z","timestamp":1765294679567,"version":"build-2065373602"},"reference-count":11,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2015,1,30]],"date-time":"2015-01-30T00:00:00Z","timestamp":1422576000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Mobile Netw Appl"],"published-print":{"date-parts":[[2015,6]]},"DOI":"10.1007\/s11036-014-0560-5","type":"journal-article","created":{"date-parts":[[2015,1,29]],"date-time":"2015-01-29T05:00:40Z","timestamp":1422507640000},"page":"380-390","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["CFSF: On Cloud-Based Recommendation for Large-Scale E-commerce"],"prefix":"10.1007","volume":"20","author":[{"given":"Long","family":"Hu","sequence":"first","affiliation":[]},{"given":"Kai","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Mohammad Mehedi","family":"Hassan","sequence":"additional","affiliation":[]},{"given":"Atif","family":"Alamri","sequence":"additional","affiliation":[]},{"given":"Abdulhameed","family":"Alelaiwi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2015,1,30]]},"reference":[{"issue":"6","key":"560_CR1","doi-asserted-by":"crossref","first-page":"823","DOI":"10.1016\/j.future.2010.10.002","volume":"27","author":"C-F Lai","year":"2011","unstructured":"Lai C-F, Chang J-H, Hu C-C, Huang Y-M, Chao H-C (2011) Cprs: a cloud-based program recommendation system for digital TV platforms. Futur Gener Comput Syst 27(6):823\u2013835","journal-title":"Futur Gener Comput Syst"},{"key":"560_CR2","unstructured":"Xia W, He L, Gu J, et al. (2009) Effective collaborative filtering approaches based on missing data imputation[C]\/\/INC, IMS and IDC, 2009. NCM\u201909. Fifth Int Joint Conf IEEE:534\u2013537"},{"issue":"4","key":"560_CR3","doi-asserted-by":"crossref","first-page":"52","DOI":"10.1109\/MNET.2014.6863132","volume":"28","author":"Y Zhang","year":"2014","unstructured":"Zhang Y, Chen M, Mao S, Hu L, Leung V (2014) Cap: crowd activity prediction based on big data analysis. IEEE Netw 28(4):52\u201357","journal-title":"IEEE Netw"},{"key":"560_CR4","doi-asserted-by":"crossref","unstructured":"Khabbaz M, Lakshmanan LVS (2011) Toprecs: top-k algorithms for item-based collaborative filtering. In: EDBT","DOI":"10.1145\/1951365.1951392"},{"key":"560_CR5","doi-asserted-by":"crossref","unstructured":"Menon AK, Chitrapura KP , Garg S, Agarwal D, Kota N (2011) Response prediction using collaborative filtering with hierarchies and side-information. In: KDD, ACM","DOI":"10.1145\/2020408.2020436"},{"issue":"7","key":"560_CR6","doi-asserted-by":"crossref","first-page":"745","DOI":"10.4304\/jsw.5.7.745-752","volume":"5","author":"S Gong","year":"2010","unstructured":"Gong S (2010) A collaborative filtering recommendation algorithm based on user clustering and item clustering[J]. J Softw 5(7):745\u2013752","journal-title":"J Softw"},{"key":"560_CR7","doi-asserted-by":"crossref","unstructured":"Zheng V W, Cao B, Zheng Y, et al. (2010) Collaborative filtering meets mobile recommendation: a user-centered approach[C]\/\/AAAI 10:236\u2013241","DOI":"10.1609\/aaai.v24i1.7577"},{"key":"560_CR8","unstructured":"Lathia N, Hailes S, Capra L (2009) Temporal collaborative filtering with adaptive neighbourhoods[C]\/\/Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval. ACM:796\u2013797"},{"key":"560_CR9","first-page":"859","volume-title":"New objective functions for social collaborative filtering. In: WWW","author":"J Noel","year":"2012","unstructured":"Noel J, Sanner S, Tran K-N, Christen P, Xie L, Bonilla EV, Abbasnejad E, Della Penna N (2012) New objective functions for social collaborative filtering. In: WWW. ACM, New York, pp 859\u2013868"},{"key":"560_CR10","unstructured":"Brochu E, Cora VM, De Freitas N (2010) A tutorial on Bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning[J]. arXiv preprint arXiv: 1012.2599"},{"key":"560_CR11","doi-asserted-by":"crossref","unstructured":"Zhang D, Cao J, Guo M, Zhou J, Raychoudhury V (2009) An efficient collaborative filtering approach using smoothing and fusing. In: Proceedings of the 38th International Conference on Parallel Processing, Vienna, Austria","DOI":"10.1109\/ICPP.2009.16"}],"container-title":["Mobile Networks and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-014-0560-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11036-014-0560-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11036-014-0560-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T22:45:57Z","timestamp":1690929957000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11036-014-0560-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2015,1,30]]},"references-count":11,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2015,6]]}},"alternative-id":["560"],"URL":"https:\/\/doi.org\/10.1007\/s11036-014-0560-5","relation":{},"ISSN":["1383-469X","1572-8153"],"issn-type":[{"type":"print","value":"1383-469X"},{"type":"electronic","value":"1572-8153"}],"subject":[],"published":{"date-parts":[[2015,1,30]]}}}