{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:28:03Z","timestamp":1750220883371,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":10,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,11,3]],"date-time":"2019-11-03T00:00:00Z","timestamp":1572739200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,11,3]]},"DOI":"10.1145\/3357384.3358082","type":"proceedings-article","created":{"date-parts":[[2019,11,4]],"date-time":"2019-11-04T14:11:35Z","timestamp":1572876695000},"page":"2197-2200","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Synergizing Local and Global Models for Matrix Approximation"],"prefix":"10.1145","author":[{"given":"Chao","family":"Chen","sequence":"first","affiliation":[{"name":"Shanghai Jiao Tong University &amp; IBM Research China, Shanghai, China"}]},{"given":"Hao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]},{"given":"Dongsheng","family":"Li","sequence":"additional","affiliation":[{"name":"IBM Research China, Shanghai, China"}]},{"given":"Junchi","family":"Yan","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]},{"given":"Xiaokang","family":"Yang","sequence":"additional","affiliation":[{"name":"Shanghai Jiao Tong University, Shanghai, China"}]}],"member":"320","published-online":{"date-parts":[[2019,11,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1970392.1970395"},{"volume-title":"MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering. In IJCAI . 1382--1388.","year":"2016","author":"Chen Chao","key":"e_1_3_2_1_2_1"},{"volume-title":"GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering. In AAAI .","year":"2017","author":"Chen Chao","key":"e_1_3_2_1_3_1"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767718"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Yehuda Koren. 2008. Factorization meets the neighborhood: a multifaceted collaborative filtering model. In KDD. 426--434.  Yehuda Koren. 2008. Factorization meets the neighborhood: a multifaceted collaborative filtering model. In KDD. 426--434.","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_3_2_1_6_1","unstructured":"Joonseok Lee Seungyeon Kim Guy Lebanon and Yoram Singer. 2013. Local low-rank matrix approximation. In ICML. 82--90.  Joonseok Lee Seungyeon Kim Guy Lebanon and Yoram Singer. 2013. Local low-rank matrix approximation. In ICML. 82--90."},{"key":"e_1_3_2_1_7_1","unstructured":"Dongsheng Li Chao Chen Qin Lv Junchi Yan Li Shang and Stephen Chu. 2016. Low-rank matrix approximation with stability. In ICML. 295--303.  Dongsheng Li Chao Chen Qin Lv Junchi Yan Li Shang and Stephen Chu. 2016. Low-rank matrix approximation with stability. In ICML. 295--303."},{"key":"e_1_3_2_1_8_1","unstructured":"Arkadiusz Paterek. 2007. Improving regularized singular value decomposition for collaborative filtering. In KDD CUP . 5--8.  Arkadiusz Paterek. 2007. Improving regularized singular value decomposition for collaborative filtering. In KDD CUP . 5--8."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1137\/S1052623495294797"},{"volume-title":"Hongwei Peng, and Xiaoling Wang.","year":"2016","author":"Wang Keqiang","key":"e_1_3_2_1_10_1"}],"event":{"name":"CIKM '19: The 28th ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Beijing China","acronym":"CIKM '19"},"container-title":["Proceedings of the 28th ACM International Conference on Information and Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3357384.3358082","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3357384.3358082","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T23:44:18Z","timestamp":1750203858000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3357384.3358082"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,11,3]]},"references-count":10,"alternative-id":["10.1145\/3357384.3358082","10.1145\/3357384"],"URL":"https:\/\/doi.org\/10.1145\/3357384.3358082","relation":{},"subject":[],"published":{"date-parts":[[2019,11,3]]},"assertion":[{"value":"2019-11-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}