{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,6,13]],"date-time":"2024-06-13T01:35:11Z","timestamp":1718242511274},"reference-count":30,"publisher":"Oxford University Press (OUP)","funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"crossref","award":["61272277"],"award-info":[{"award-number":["61272277"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["The Computer Journal"],"DOI":"10.1093\/comjnl\/bxw016","type":"journal-article","created":{"date-parts":[[2016,3,25]],"date-time":"2016-03-25T20:58:30Z","timestamp":1458939510000},"page":"bxw016","source":"Crossref","is-referenced-by-count":4,"title":["Attribute and Global Boosting: A Rating Prediction Method in Context-Aware Recommendation"],"prefix":"10.1093","author":[{"given":"Lin","family":"Zheng","sequence":"first","affiliation":[]},{"given":"Fuxi","family":"Zhu","sequence":"additional","affiliation":[]},{"given":"Alshahrani","family":"Mohammed","sequence":"additional","affiliation":[]}],"member":"286","published-online":{"date-parts":[[2016,3,25]]},"reference":[{"key":"2016032517582509000_bxw016v1.1","doi-asserted-by":"crossref","unstructured":"Ricci F. , Rokach L. , Shapira B. and Kantor P.B. (2011) Recommender Systems Handbook. Springer, USA.","DOI":"10.1007\/978-0-387-85820-3"},{"key":"2016032517582509000_bxw016v1.2","doi-asserted-by":"crossref","first-page":"3:1","DOI":"10.1145\/2556270","article-title":"Collaborative filtering beyond the user\u2013item matrix: a survey of the state of the art and future challenges","volume":"47","author":"Shi","year":"2014","journal-title":"ACM Comput. Surv."},{"key":"2016032517582509000_bxw016v1.3","doi-asserted-by":"crossref","unstructured":"Karatzoglou A. , Amatriain X. , Baltrunas L. and Oliver N. (2010) Multiverse Recommendation: N-dimensional Tensor Factorization for Context-aware Collaborative Filtering. Proc. 4th ACM Conf. on Recommender Systems, RecSys'10, Barcelona, Spain, September 26\u201330, pp. 79\u201386. ACM, NY, USA.","DOI":"10.1145\/1864708.1864727"},{"key":"2016032517582509000_bxw016v1.4","doi-asserted-by":"crossref","first-page":"57:1","DOI":"10.1145\/2168752.2168771","article-title":"Factorization machines with libfm","volume":"3","author":"Rendle","year":"2012","journal-title":"ACM Trans. Intell. Syst. Technol."},{"key":"2016032517582509000_bxw016v1.5","unstructured":"Chen T. , Li H. , Yang Q. and Yu Y. (2013) General Functional Matrix Factorization using Gradient Boosting. Proc. 30th Int. Conf. on Machine Learning (ICML-13), Atlanta, USA, June 16\u201321, JMLR Workshop and Conference Proceedings 28, pp. 436\u2013444. Microtome Publishing, Brookline, MA, USA."},{"key":"2016032517582509000_bxw016v1.6","unstructured":"Jahrer M. and T\u00f6scher A. (2012) Collaborative Filtering Ensemble. Proc. KDD Cup 2011 (JMLR-12), March 15\u2013June 30, JMLR Workshop and Conference Proceedings 18, pp. 61\u201374. Microtome Publishing, Brookline, MA, USA."},{"key":"2016032517582509000_bxw016v1.7","unstructured":"Chen P.-L. et al. (2012) A Linear Ensemble of Individual and Blended Models for Music Rating Prediction. Proc. KDD Cup 2011 (JMLR-12), March 15\u2013June 30, JMLR Workshop and Conference Proceedings 18, pp. 21\u201360. Microtome Publishing, Brookline, MA, USA."},{"key":"2016032517582509000_bxw016v1.8","doi-asserted-by":"crossref","unstructured":"Hariri N. , Mobasher B. and Burke R. (2014) Context Adaptation in Interactive Recommender Systems. Proc. 8th ACM Conf. on Recommender Systems, RecSys'14, Foster City, Silicon Valley, CA, USA, October 6\u201310, pp. 41\u201348. ACM, NY, USA.","DOI":"10.1145\/2645710.2645753"},{"key":"2016032517582509000_bxw016v1.9","unstructured":"Bishop C.M. (2006) Pattern Recognition and Machine Learning (Information Science and Statistics). Springer, Secaucus, NJ, USA."},{"key":"2016032517582509000_bxw016v1.10","doi-asserted-by":"crossref","unstructured":"Rendle S. (2010) Factorization Machines. Proc. 10th IEEE Int. Conf. on Data Mining, ICDM'10, Sydney, NSW, December 13\u201317, pp. 995\u20131000. IEEE.","DOI":"10.1109\/ICDM.2010.127"},{"key":"2016032517582509000_bxw016v1.11","doi-asserted-by":"crossref","unstructured":"Rendle S. , Gantner Z. , Freudenthaler C. and Schmidt-Thieme L. (2011) Fast Context-Aware Recommendations with Factorization Machines. Proc. 34th Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, SIGIR'11, Beijing, China, July 24\u201328, pp. 635\u2013644. ACM, NY, USA.","DOI":"10.1145\/2009916.2010002"},{"key":"2016032517582509000_bxw016v1.12","doi-asserted-by":"crossref","first-page":"1189","DOI":"10.1214\/aos\/1013203451","article-title":"Greedy function approximation: a gradient boosting machine","volume":"29","author":"Friedman","year":"2001","journal-title":"Ann. Stat."},{"key":"2016032517582509000_bxw016v1.13","doi-asserted-by":"crossref","unstructured":"Cheng C. , Xia F. , Zhang T. , King I. and Lyu M.R. (2014) Gradient Boosting Factorization Machines. Proc. 8th ACM Conf. on Recommender Systems, RecSys'14, Foster City, Silicon Valley, CA, USA, October 6\u201310, pp. 265\u2013272. ACM, NY, USA.","DOI":"10.1145\/2645710.2645730"},{"key":"2016032517582509000_bxw016v1.14","doi-asserted-by":"crossref","unstructured":"Koren Y. and Bell R. (2011) Advances in Collaborative Filtering. Recommender Systems Handbook, pp. 145\u2013186. Springer.","DOI":"10.1007\/978-0-387-85820-3_5"},{"key":"2016032517582509000_bxw016v1.15","unstructured":"Mnih A. and Salakhutdinov R.R. (2008) Probabilistic Matrix Factorization. Advances in Neural Information Processing Systems 20, pp. 1257\u20131264. Curran Associates, Inc."},{"key":"2016032517582509000_bxw016v1.16","doi-asserted-by":"crossref","unstructured":"Salakhutdinov R. and Mnih A. (2008) Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo. Proc. 25th Int. Conf. on Machine Learning, ICML'08, Helsinki, Finland, July 5\u20139, pp. 880\u2013887. ACM, NY, USA.","DOI":"10.1145\/1390156.1390267"},{"key":"2016032517582509000_bxw016v1.17","doi-asserted-by":"crossref","unstructured":"Koren Y. (2008) Factorization Meets the Neighborhood: A Multifaceted Collaborative Filtering Model. Proc. 14th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, KDD'08, Las Vegas, Nevada, USA, August 24\u201327, pp. 426\u2013434. ACM, NY, USA.","DOI":"10.1145\/1401890.1401944"},{"key":"2016032517582509000_bxw016v1.18","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1145\/1721654.1721677","article-title":"Collaborative filtering with temporal dynamics","volume":"53","author":"Koren","year":"2010","journal-title":"Commun. ACM"},{"key":"2016032517582509000_bxw016v1.19","doi-asserted-by":"crossref","unstructured":"Xiong L. , Chen X. , Huang T.-K. , Schneider J.G. and Carbonell J.G. (2010) Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization. 2010 SIAM Int. Conf. on Data Mining, Columbus, Ohio, April 29\u2013May 1, SDM 10, pp. 211\u2013222. SIAM US.","DOI":"10.1137\/1.9781611972801.19"},{"key":"2016032517582509000_bxw016v1.20","doi-asserted-by":"crossref","unstructured":"Rafailidis D. and Nanopoulos A. (2014) Modeling the Dynamics of user Preferences in Coupled Tensor Factorization. Proc. 8th ACM Conf. on Recommender Systems, RecSys'14, Foster City, Silicon Valley, CA, USA, October 6\u201310, pp. 321\u2013324. ACM, NY, USA.","DOI":"10.1145\/2645710.2645758"},{"key":"2016032517582509000_bxw016v1.21","first-page":"3585","article-title":"Svdfeature: a toolkit for feature-based collaborative filtering","volume":"13","author":"Chen","year":"2012","journal-title":"J. Mach. Learn. Res."},{"key":"2016032517582509000_bxw016v1.22","doi-asserted-by":"crossref","unstructured":"Rendle S. (2013) Scaling Factorization Machines to Relational Data. Proc. 39th Int. Conf. on Very Large Data Bases, Riva del Garda, Trento, Italy, August 26\u201330, Proceedings of the VLDB Endowment 6, pp. 337\u2013348. VLDB Endowment.","DOI":"10.14778\/2535573.2488340"},{"key":"2016032517582509000_bxw016v1.23","doi-asserted-by":"crossref","unstructured":"Zhou Z.-H. (2012) Ensemble Methods: Foundations and Algorithms (1st edn). Chapman & Hall\/CRC.","DOI":"10.1201\/b12207"},{"key":"2016032517582509000_bxw016v1.24","doi-asserted-by":"crossref","unstructured":"Lou Y. , Caruana R. and Gehrke J. (2012) Intelligible Models for Classification and Regression. Proc. 18th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining, KDD'12, Beijing, China, August 12\u201316, pp. 150\u2013158. ACM, NY, USA.","DOI":"10.1145\/2339530.2339556"},{"key":"2016032517582509000_bxw016v1.25","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2656.2008.01390.x"},{"key":"2016032517582509000_bxw016v1.26","doi-asserted-by":"crossref","unstructured":"Zhou K. , Yang S.-H. and Zha H. (2011) Functional Matrix Factorizations for Cold-Start Recommendation. Proc. 34th Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, SIGIR'11, Beijing, China, July 24\u201328, pp. 315\u2013324. ACM, NY, USA.","DOI":"10.1145\/2009916.2009961"},{"key":"2016032517582509000_bxw016v1.27","doi-asserted-by":"crossref","unstructured":"Chowdhury N. , Cai X. and Luo C. (2015) Boostmf: Boosted Matrix Factorisation for Collaborative Ranking. In Appice, A., Rodrigues, P.P., Santos Costa, V., Gama, J., Jorge, A. and Soares, C. (eds) Machine Learning and Knowledge Discovery in Databases ECML\/PKDD (2) 2015, Lecture Notes in Computer Science 9285, pp. 3\u201318. Springer International Publishing.","DOI":"10.1007\/978-3-319-23525-7_1"},{"key":"2016032517582509000_bxw016v1.28","doi-asserted-by":"crossref","unstructured":"Hu Y. , Koren Y. and Volinsky C. (2008) Collaborative Filtering for Implicit Feedback Datasets. Proc. 8th IEEE Int. Conf. on Data Mining, ICDM'08, Pisa, Italy, December 15\u201319, pp. 263\u2013272. IEEE.","DOI":"10.1109\/ICDM.2008.22"},{"key":"2016032517582509000_bxw016v1.29","unstructured":"Rendle S. , Freudenthaler C. , Gantner Z. and Schmidt-Thieme L. (2009) Bpr: Bayesian Personalized Ranking from Implicit Feedback. Proc. 25th Conf. on Uncertainty in Artificial Intelligence, UAI'09, Montreal, Quebec, Canada, June 18\u201321, pp. 452\u2013461. AUAI Press, Arlington, Virginia, USA."},{"key":"2016032517582509000_bxw016v1.30","doi-asserted-by":"crossref","unstructured":"Balakrishnan S. and Chopra S. (2012) Collaborative Ranking. Proc. 5th ACM Int. Conf. on Web Search and Data Mining, WSDM'12, Seattle, Washington, USA, February 8\u201312, pp. 143\u2013152. ACM, NY, USA.","DOI":"10.1145\/2124295.2124314"}],"container-title":["The Computer Journal"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/academic.oup.com\/comjnl\/article-pdf\/60\/7\/957\/18070853\/bxw016.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,5]],"date-time":"2019-09-05T20:25:59Z","timestamp":1567715159000},"score":1,"resource":{"primary":{"URL":"https:\/\/academic.oup.com\/comjnl\/article-lookup\/doi\/10.1093\/comjnl\/bxw016"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,3,25]]},"references-count":30,"alternative-id":["10.1093\/comjnl\/bxw016"],"URL":"https:\/\/doi.org\/10.1093\/comjnl\/bxw016","relation":{},"ISSN":["0010-4620","1460-2067"],"issn-type":[{"value":"0010-4620","type":"print"},{"value":"1460-2067","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,3,25]]}}}