{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:22:30Z","timestamp":1750220550505,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":24,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,12,1]],"date-time":"2021-12-01T00:00:00Z","timestamp":1638316800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key Research and Development Program of China","doi-asserted-by":"publisher","award":["2020AAA0106301"],"award-info":[{"award-number":["2020AAA0106301"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62050110, 62102222"],"award-info":[{"award-number":["62050110, 62102222"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Tsinghua GuoQiang Research Center","award":["2020GQG1014"],"award-info":[{"award-number":["2020GQG1014"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,12]]},"DOI":"10.1145\/3469877.3495639","type":"proceedings-article","created":{"date-parts":[[2022,1,10]],"date-time":"2022-01-10T18:27:21Z","timestamp":1641839241000},"page":"1-6","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["CFCR: A Convolution and Fusion Model for Cross-platform Recommendation"],"prefix":"10.1145","author":[{"given":"Shengze","family":"Yu","sequence":"first","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xin","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, China and Pengcheng Laboratory, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wenwu","family":"Zhu","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Technology, Tsinghua University, China and Pengcheng Laboratory, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,1,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICBK.2017.30"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/2342549.2342565"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_1_4_1","unstructured":"Matthew Hoffman Francis\u00a0R Bach and David\u00a0M Blei. 2010. Online learning for latent dirichlet allocation. In advances in neural information processing systems. 856\u2013864.  Matthew Hoffman Francis\u00a0R Bach and David\u00a0M Blei. 2010. Online learning for latent dirichlet allocation. In advances in neural information processing systems. 856\u2013864."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Meng Jiang Peng Cui Nicholas\u00a0Jing Yuan Xing Xie and Shiqiang Yang. 2016. Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds.. In AAAI. 13\u201319.  Meng Jiang Peng Cui Nicholas\u00a0Jing Yuan Xing Xie and Shiqiang Yang. 2016. Little Is Much: Bridging Cross-Platform Behaviors through Overlapped Crowds.. In AAAI. 13\u201319.","DOI":"10.1609\/aaai.v30i1.10001"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2014.68"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/BigData47090.2019.9006266"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.14711\/thesis-b1240240"},{"key":"e_1_3_2_1_10_1","volume-title":"Cross-Domain Recommendation: An Embedding and Mapping Approach. In Twenty-Sixth International Joint Conference on Artificial Intelligence. 2464\u20132470","author":"Man Tong","year":"2017","unstructured":"Tong Man , Huawei Shen , Xiaolong Jin , and Xueqi Cheng . 2017 . Cross-Domain Recommendation: An Embedding and Mapping Approach. In Twenty-Sixth International Joint Conference on Artificial Intelligence. 2464\u20132470 . Tong Man, Huawei Shen, Xiaolong Jin, and Xueqi Cheng. 2017. Cross-Domain Recommendation: An Embedding and Mapping Approach. In Twenty-Sixth International Joint Conference on Artificial Intelligence. 2464\u20132470."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2015.2463226"},{"key":"e_1_3_2_1_12_1","volume-title":"Proceedings of the 28th international conference on machine learning (ICML-11)","author":"Ngiam Jiquan","year":"2011","unstructured":"Jiquan Ngiam , Aditya Khosla , Mingyu Kim , Juhan Nam , Honglak Lee , and Andrew\u00a0 Y Ng . 2011 . Multimodal deep learning . In Proceedings of the 28th international conference on machine learning (ICML-11) . 689\u2013696. Jiquan Ngiam, Aditya Khosla, Mingyu Kim, Juhan Nam, Honglak Lee, and Andrew\u00a0Y Ng. 2011. Multimodal deep learning. In Proceedings of the 28th international conference on machine learning (ICML-11). 689\u2013696."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806234"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220006"},{"key":"e_1_3_2_1_15_1","volume-title":"Multimodal Disentangled Representation for Recommendation. In 2021 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 1\u20136.","author":"Wang Xin","year":"2021","unstructured":"Xin Wang , Hong Chen , and Wenwu Zhu . 2021 . Multimodal Disentangled Representation for Recommendation. In 2021 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 1\u20136. Xin Wang, Hong Chen, and Wenwu Zhu. 2021. Multimodal Disentangled Representation for Recommendation. In 2021 IEEE International Conference on Multimedia and Expo (ICME). IEEE, 1\u20136."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2983323.2983701"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-91452-7_11"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330939"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654920"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2671188.2749344"},{"key":"e_1_3_2_1_21_1","unstructured":"Shengze Yu Xin Wang Wenwu Zhu Peng Cui and Jingdong Wang. 2019. Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation. In IJCAI.  Shengze Yu Xin Wang Wenwu Zhu Peng Cui and Jingdong Wang. 2019. Disparity-preserved Deep Cross-platform Association for Cross-platform Video Recommendation. In IJCAI."},{"key":"e_1_3_2_1_22_1","volume-title":"International Conference on Machine Learning. PMLR, 10936\u201310945","author":"Yu Wenhui","year":"2020","unstructured":"Wenhui Yu and Zheng Qin . 2020 . Graph convolutional network for recommendation with low-pass collaborative filters . In International Conference on Machine Learning. PMLR, 10936\u201310945 . Wenhui Yu and Zheng Qin. 2020. Graph convolutional network for recommendation with low-pass collaborative filters. In International Conference on Machine Learning. PMLR, 10936\u201310945."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/3240323.3240343"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2969791"}],"event":{"name":"MMAsia '21: ACM Multimedia Asia","sponsor":["SIGMM ACM Special Interest Group on Multimedia"],"location":"Gold Coast Australia","acronym":"MMAsia '21"},"container-title":["ACM Multimedia Asia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3469877.3495639","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3469877.3495639","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:28:16Z","timestamp":1750195696000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3469877.3495639"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,12]]},"references-count":24,"alternative-id":["10.1145\/3469877.3495639","10.1145\/3469877"],"URL":"https:\/\/doi.org\/10.1145\/3469877.3495639","relation":{},"subject":[],"published":{"date-parts":[[2021,12]]},"assertion":[{"value":"2022-01-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}