{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T20:28:12Z","timestamp":1725913692531},"publisher-location":"Cham","reference-count":18,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319686981"},{"type":"electronic","value":"9783319686998"}],"license":[{"start":{"date-parts":[[2017,1,1]],"date-time":"2017-01-01T00:00:00Z","timestamp":1483228800000},"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":[[2017]]},"DOI":"10.1007\/978-3-319-68699-8_2","type":"book-chapter","created":{"date-parts":[[2017,10,20]],"date-time":"2017-10-20T04:19:37Z","timestamp":1508473177000},"page":"17-29","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic-K Recommendation with Personalized Decision Boundary"],"prefix":"10.1007","author":[{"given":"Yan","family":"Gao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiafeng","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanyan","family":"Lan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Huaming","family":"Liao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,10,21]]},"reference":[{"issue":"6","key":"2_CR1","doi-asserted-by":"crossref","first-page":"734","DOI":"10.1109\/TKDE.2005.99","volume":"17","author":"G Adomavicius","year":"2005","unstructured":"Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734\u2013749 (2005)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"2_CR2","doi-asserted-by":"crossref","unstructured":"Aiolli, F.: Convex auc optimization for top-n recommendation with implicit feedback. In: Proceedings of the 8th ACM Conference on Recommender Systems, pp. 293\u2013296. ACM (2014)","DOI":"10.1145\/2645710.2645770"},{"key":"2_CR3","unstructured":"Feipeng, Z., Yuhong, G.: Improving top-n recommendation with heterogeneous loss. J. Artif. Intell. Res. (2016)"},{"key":"2_CR4","unstructured":"Gopalan, P., Hofman, J.M., Blei, D.M.: Scalable recommendation with poisson factorization. arXiv preprint arXiv:1311.1704 (2013)"},{"key":"2_CR5","unstructured":"Johnson, C.C.: Logistic matrix factorization for implicit feedback data. In: Advances in Neural Information Processing Systems 27 (2014)"},{"key":"2_CR6","doi-asserted-by":"crossref","unstructured":"Karatzoglou, A., Baltrunas, L., Shi, Y.: Learning to rank for recommender systems. In: Proceedings of the 7th ACM Conference on Recommender Systems, pp. 493\u2013494. ACM (2013)","DOI":"10.1145\/2507157.2508063"},{"key":"2_CR7","unstructured":"Mnih, A., Teh, Y.W.: Learning item trees for probabilistic modelling of implicit feedback. arXiv preprint arXiv:1109.5894 (2011)"},{"key":"2_CR8","unstructured":"Oard, D.W., Kim, J., et al.: Implicit feedback for recommender systems. In: Proceedings of the AAAI Workshop on Recommender Systems, pp. 81\u201383 (1998)"},{"key":"2_CR9","first-page":"16","volume":"1050","author":"D Park","year":"2015","unstructured":"Park, D., Neeman, J., Zhang, J., Sanghavi, S., Dhillon, I.S.: Preference completion: Large-scale collaborative ranking from pairwise comparisons. Statistics 1050, 16 (2015)","journal-title":"Statistics"},{"key":"2_CR10","unstructured":"Rendle, S., Freudenthaler, C., Gantner, Z., Schmidt-Thieme, L.: Bpr: Bayesian personalized ranking from implicit feedback. In: Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, pp. 452\u2013461. AUAI Press (2009)"},{"key":"2_CR11","doi-asserted-by":"crossref","unstructured":"Ricci, F., Rokach, L., Shapira, B.: Introduction to Recommender Systems Handbook. Springer, Heidelberg (2011)","DOI":"10.1007\/978-0-387-85820-3"},{"key":"2_CR12","doi-asserted-by":"crossref","unstructured":"Sculley, D.: Combined regression and ranking. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 979\u2013988. ACM (2010)","DOI":"10.1145\/1835804.1835928"},{"key":"2_CR13","doi-asserted-by":"crossref","unstructured":"Shalev-Shwartz, S., Singer, Y., Srebro, N.: Pegasos: Primal estimated sub-gradient solver for svm. In: Proceedings of the 24th International Conference on Machine Learning, pp. 807\u2013814. ACM (2007)","DOI":"10.1145\/1273496.1273598"},{"key":"2_CR14","doi-asserted-by":"crossref","unstructured":"Shi, Y., Karatzoglou, A., Baltrunas, L., Larson, M., Hanjalic, A., Oliver, N.: Tfmap: optimizing map for top-n context-aware recommendation. In: Proceedings of the 35th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 155\u2013164. ACM (2012)","DOI":"10.1145\/2348283.2348308"},{"key":"2_CR15","doi-asserted-by":"crossref","unstructured":"Shi, Y., Karatzoglou, A., Baltrunas, L., Larson, M., Oliver, N., Hanjalic, A.: Climf: learning to maximize reciprocal rank with collaborative less-is-more filtering. In: Proceedings of the Sixth ACM Conference on Recommender Systems, pp. 139\u2013146. ACM (2012)","DOI":"10.1145\/2365952.2365981"},{"key":"2_CR16","doi-asserted-by":"crossref","unstructured":"Wang, P., Guo, J., Lan, Y., Xu, J., Wan, S., Cheng, X.: Learning hierarchical representation model for next basket recommendation. In: Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 403\u2013412. ACM (2015)","DOI":"10.1145\/2766462.2767694"},{"key":"2_CR17","unstructured":"Weimer, M., Karatzoglou, A., Le, Q.V., Smola, A.: Maximum margin matrix factorization for collaborative ranking. In: Advances in Neural Information Processing Systems, pp. 1\u20138 (2007)"},{"key":"2_CR18","unstructured":"Yun, H., Raman, P., Vishwanathan, S.: Ranking via robust binary classification. In: Advances in Neural Information Processing Systems, pp. 2582\u20132590 (2014)"}],"container-title":["Lecture Notes in Computer Science","Information Retrieval"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-68699-8_2","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,10,4]],"date-time":"2019-10-04T22:43:32Z","timestamp":1570229012000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-68699-8_2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017]]},"ISBN":["9783319686981","9783319686998"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-68699-8_2","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2017]]}}}