{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:40:06Z","timestamp":1750210806166,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","license":[{"start":{"date-parts":[[2019,2,22]],"date-time":"2019-02-22T00:00:00Z","timestamp":1550793600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Natural Science Foundation of Jiangsu Province","award":["BK20171237"],"award-info":[{"award-number":["BK20171237"]}]},{"name":"research development found of Xi?an Jiaotong-Liverpool University","award":["RDF-2017-02-23"],"award-info":[{"award-number":["RDF-2017-02-23"]}]},{"name":"National Natural Science Foundation","award":["No. 11501044"],"award-info":[{"award-number":["No. 11501044"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2019,2,22]]},"DOI":"10.1145\/3318299.3318342","type":"proceedings-article","created":{"date-parts":[[2019,5,16]],"date-time":"2019-05-16T12:10:25Z","timestamp":1558008625000},"page":"81-85","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Learning with Linear Mixed Model for Group Recommendation Systems"],"prefix":"10.1145","author":[{"given":"Baode","family":"Gao","sequence":"first","affiliation":[{"name":"Department of Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu Province, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guangpeng","family":"Zhan","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu Province, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanzhang","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu Province, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yiming","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu Province, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shengxin","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Mathematics, Xi'an Jiaotong-Liverpool University, Suzhou, Jiangsu Province, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2019,2,22]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"Bangzuo Z. and Xin G. 2006. A Novel Recommender Algorithm on Fusion Heterogeneous Information Network. 41 (2006).  Bangzuo Z. and Xin G. 2006. A Novel Recommender Algorithm on Fusion Heterogeneous Information Network. 41 (2006)."},{"key":"e_1_3_2_1_2_1","unstructured":"Gilmour A.R. et al. 2009. {ASReml} user guide release 3.0. VSN International Ltd Hemel Hempstead UK. (2009).  Gilmour A.R. et al. 2009. {ASReml} user guide release 3.0. VSN International Ltd Hemel Hempstead UK. (2009)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-018-1849-9"},{"key":"e_1_3_2_1_4_1","first-page":"37","article-title":"Using Large-Scale Demographic Data","volume":"18","author":"Krulwich B.","year":"1997","journal-title":"AI Magazine."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.18637\/jss.v082.i13"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00521-015-2060-3"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Listgarten J. et al. 2012. Improved linear mixed models for genome-wide association studies. Nature methods. 9 6 (2012) 525--526.  Listgarten J. et al. 2012. Improved linear mixed models for genome-wide association studies. Nature methods. 9 6 (2012) 525--526.","DOI":"10.1038\/nmeth.2037"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/2414425.2414433"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Runcie D.E. and Crawford L. 2018. Fast and general-purpose linear mixed models for genome-wide genetics. bioRxiv. (2018) Runcie D.E. and Crawford L. 2018. Fast and general-purpose linear mixed models for genome-wide genetics. bioRxiv. (2018)","DOI":"10.1101\/373902"},{"key":"e_1_3_2_1_10_1","unstructured":"Searle S.R. 1987. Linear models for unbalanced data. John Wiley & Sons Inc.   Searle S.R. 1987. Linear models for unbalanced data. John Wiley & Sons Inc."},{"key":"e_1_3_2_1_11_1","first-page":"2724","article-title":"Knowledge Graph Embedding","volume":"29","author":"Wang Q.","year":"2017","journal-title":"A Survey of Approaches and Applications."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939684"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11390-018-1852-1"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"crossref","unstructured":"Zhou X. and Stephens M. 2012. Genome-wide efficient mixed-model analysis for association studies. Nature genetics. 44 7 (2012) 821--824.  Zhou X. and Stephens M. 2012. Genome-wide efficient mixed-model analysis for association studies. Nature genetics. 44 7 (2012) 821--824.","DOI":"10.1038\/ng.2310"},{"key":"e_1_3_2_1_15_1","first-page":"294","article-title":"Information Splitting for Big Data Analytics","volume":"2016","author":"Zhu S.","year":"2016","journal-title":"CyberC"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICBDA.2017.8078871"},{"key":"e_1_3_2_1_17_1","unstructured":"Zhu S. et al. 2016. Information matrix splitting. arXiv. (2016).  Zhu S. et al. 2016. Information matrix splitting. arXiv. (2016)."},{"key":"e_1_3_2_1_18_1","unstructured":"Zhu S. and Wathen A. J. 2018. Essential formulae for restricted maximum likelihood and its derivatives associated with the linear mixed models. (May 2018).  Zhu S. and Wathen A. J. 2018. Essential formulae for restricted maximum likelihood and its derivatives associated with the linear mixed models. (May 2018)."}],"event":{"name":"ICMLC '19: 2019 11th International Conference on Machine Learning and Computing","sponsor":["Southwest Jiaotong University"],"location":"Zhuhai China","acronym":"ICMLC '19"},"container-title":["Proceedings of the 2019 11th International Conference on Machine Learning and Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3318299.3318342","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3318299.3318342","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T01:02:24Z","timestamp":1750208544000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3318299.3318342"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,2,22]]},"references-count":18,"alternative-id":["10.1145\/3318299.3318342","10.1145\/3318299"],"URL":"https:\/\/doi.org\/10.1145\/3318299.3318342","relation":{},"subject":[],"published":{"date-parts":[[2019,2,22]]},"assertion":[{"value":"2019-02-22","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}