{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:22:38Z","timestamp":1750220558307,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":16,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,5,28]],"date-time":"2021-05-28T00:00:00Z","timestamp":1622160000000},"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":[[2021,5,28]]},"DOI":"10.1145\/3469213.3470423","type":"proceedings-article","created":{"date-parts":[[2021,8,19]],"date-time":"2021-08-19T04:19:10Z","timestamp":1629346750000},"page":"1-5","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":7,"title":["Towards a Personalized Movie Recommendation System: A Deep Learning Approach"],"prefix":"10.1145","author":[{"given":"Zhongtai","family":"Qin","sequence":"first","affiliation":[{"name":"South China Institute of Software Engineering, Guangzhou University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingjun","family":"Zhang","sequence":"additional","affiliation":[{"name":"South China Institute of Software Engineering, Guangzhou University, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,8,18]]},"reference":[{"volume-title":"Deep neural networks for youtube recommendations[C]\/\/Proceedings of the 10th ACM conference on recommender systems. 2016: 191-198","author":"Covington P","key":"e_1_3_2_1_1_1","unstructured":"Covington P , Adams J , Sargin E. Deep neural networks for youtube recommendations[C]\/\/Proceedings of the 10th ACM conference on recommender systems. 2016: 191-198 . Covington P, Adams J, Sargin E. Deep neural networks for youtube recommendations[C]\/\/Proceedings of the 10th ACM conference on recommender systems. 2016: 191-198."},{"volume-title":"A multi-view deep learning approach for cross domain user modeling in recommendation systems[C]\/\/Proceedings of the 24th international conference on world wide web. 2015: 278-288","author":"Elkahky A M","key":"e_1_3_2_1_2_1","unstructured":"Elkahky A M , Song Y , He X. A multi-view deep learning approach for cross domain user modeling in recommendation systems[C]\/\/Proceedings of the 24th international conference on world wide web. 2015: 278-288 . Elkahky A M, Song Y, He X. A multi-view deep learning approach for cross domain user modeling in recommendation systems[C]\/\/Proceedings of the 24th international conference on world wide web. 2015: 278-288."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2606428"},{"key":"e_1_3_2_1_4_1","first-page":"909","article-title":"Multi-rate deep learning for temporal recommendation[C]\/\/Proceedings of the 39th International ACM SIGIR conference on Research and Development","volume":"2016","author":"Song Y","unstructured":"Song Y , Elkahky A M , He X . Multi-rate deep learning for temporal recommendation[C]\/\/Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval. 2016 : 909 - 912 . Song Y, Elkahky A M, He X. Multi-rate deep learning for temporal recommendation[C]\/\/Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval. 2016: 909-912.","journal-title":"Information Retrieval."},{"key":"e_1_3_2_1_5_1","volume-title":"Learning Feature Interactions with Lorentzian Factorization Machine[C]\/\/Proceedings of the AAAI Conference on Artificial Intelligence","author":"Xu C","year":"2020","unstructured":"Xu C , Wu M. Learning Feature Interactions with Lorentzian Factorization Machine[C]\/\/Proceedings of the AAAI Conference on Artificial Intelligence . 2020 , 34(04): 6470-6477. Xu C, Wu M. Learning Feature Interactions with Lorentzian Factorization Machine[C]\/\/Proceedings of the AAAI Conference on Artificial Intelligence. 2020, 34(04): 6470-6477."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3285029"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Lei C Liu D Li W Comparative deep learning of hybrid representations for image recommendations[C]\/\/Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016: 2545-2553.  Lei C Liu D Li W Comparative deep learning of hybrid representations for image recommendations[C]\/\/Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016: 2545-2553.","DOI":"10.1109\/CVPR.2016.279"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2946753"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.2991401"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623372"},{"key":"e_1_3_2_1_11_1","volume-title":"Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions[J]","author":"Adomavicius G","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[J] . IEEE transactions on knowledge and data engineering, 2005 , 17(6): 734-749. Adomavicius G, Tuzhilin A. Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions[J]. IEEE transactions on knowledge and data engineering, 2005, 17(6): 734-749."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Kwon Y Lee Y Rhu M. Tensordimm: A practical near-memory processing architecture for embeddings and tensor operations in deep learning[C]\/\/Proceedings of the 52nd Annual IEEE\/ACM International Symposium on Microarchitecture. 2019: 740-753.  Kwon Y Lee Y Rhu M. Tensordimm: A practical near-memory processing architecture for embeddings and tensor operations in deep learning[C]\/\/Proceedings of the 52nd Annual IEEE\/ACM International Symposium on Microarchitecture. 2019: 740-753.","DOI":"10.1145\/3352460.3358284"},{"key":"e_1_3_2_1_13_1","first-page":"437","volume-title":"ACM Transactions on Information Systems (TOIS)","author":"Miller B N","year":"2004","unstructured":"Miller B N , Konstan J A , Riedl J. Pocketlens : Toward a personal recommender system[J] . ACM Transactions on Information Systems (TOIS) , 2004 , 22(3): 437 - 476 . Miller B N, Konstan J A, Riedl J. Pocketlens: Toward a personal recommender system[J]. ACM Transactions on Information Systems (TOIS), 2004, 22(3): 437-476."},{"key":"e_1_3_2_1_14_1","author":"Shen X","year":"2019","unstructured":"Shen X , Yi B , Liu H , Deep Variational Matrix Factorization with Knowledge Embedding for Recommendation System[J] . IEEE Transactions on Knowledge and Data Engineering , 2019 . Shen X, Yi B, Liu H, Deep Variational Matrix Factorization with Knowledge Embedding for Recommendation System[J]. IEEE Transactions on Knowledge and Data Engineering, 2019.","journal-title":"IEEE Transactions on Knowledge and Data Engineering"},{"volume-title":"Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)[C]\/\/Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining. 2014: 193-202","author":"Diao Q","key":"e_1_3_2_1_15_1","unstructured":"Diao Q , Qiu M , Wu C Y , Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)[C]\/\/Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining. 2014: 193-202 . Diao Q, Qiu M, Wu C Y, Jointly modeling aspects, ratings and sentiments for movie recommendation (JMARS)[C]\/\/Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining. 2014: 193-202."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2020.2990963"}],"event":{"name":"ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems","acronym":"ICAIIS 2021","location":"Chongqing China"},"container-title":["2021 2nd International Conference on Artificial Intelligence and Information Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3469213.3470423","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3469213.3470423","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:28:27Z","timestamp":1750195707000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3469213.3470423"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,28]]},"references-count":16,"alternative-id":["10.1145\/3469213.3470423","10.1145\/3469213"],"URL":"https:\/\/doi.org\/10.1145\/3469213.3470423","relation":{},"subject":[],"published":{"date-parts":[[2021,5,28]]},"assertion":[{"value":"2021-08-18","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}