{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,15]],"date-time":"2026-01-15T23:49:02Z","timestamp":1768520942386,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":15,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T00:00:00Z","timestamp":1645142400000},"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":[[2022,2,18]]},"DOI":"10.1145\/3529836.3529925","type":"proceedings-article","created":{"date-parts":[[2022,6,21]],"date-time":"2022-06-21T20:27:55Z","timestamp":1655843275000},"page":"103-109","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["A Deep Neural Networks model for Restaurant Recommendation systems in Thailand"],"prefix":"10.1145","author":[{"given":"Apisara","family":"Saelim","sequence":"first","affiliation":[{"name":"Computer Engineering, Chulalongkorn University, Thailand"}]},{"given":"Boonserm","family":"Kijsirikul","sequence":"additional","affiliation":[{"name":"Computer Engineering, Chulalongkorn University, Thailand"}]}],"member":"320","published-online":{"date-parts":[[2022,6,21]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Carlos A. Gomez-Uribe and Neil Hunt. 2015 The Netflix recommender system: Algorithms business value and innovation. In ACM Transactions on Management Information Systems (TMIS).  Carlos A. Gomez-Uribe and Neil Hunt. 2015 The Netflix recommender system: Algorithms business value and innovation. In ACM Transactions on Management Information Systems (TMIS).","DOI":"10.1145\/2843948"},{"key":"e_1_3_2_1_2_1","volume-title":"2009 Matrix factorization techniques for recommender systems","author":"Koren Yehuda","year":"2009","unstructured":"Yehuda Koren , Robert Bell , and Chris Volinsky . 2009 Matrix factorization techniques for recommender systems . In IEEE Computer , Volume 42-Issue 8, 30-37, 2009 . Yehuda Koren, Robert Bell, and Chris Volinsky. 2009 Matrix factorization techniques for recommender systems. In IEEE Computer, Volume 42-Issue 8, 30-37, 2009."},{"key":"e_1_3_2_1_3_1","first-page":"3203","article-title":"Deep Matrix Factorization Models for Recommender Systems. In IJCAI, Melbourne","author":"Xue Hong-Jian","year":"2017","unstructured":"Hong-Jian Xue , Xin-Yu Dai , Jianbing Zhang , Shujian Huang , and Jiajun Chen . 2017 Deep Matrix Factorization Models for Recommender Systems. In IJCAI, Melbourne , Australia , 3203 - 3209 . Hong-Jian Xue, Xin-Yu Dai, Jianbing Zhang, Shujian Huang, and Jiajun Chen. 2017 Deep Matrix Factorization Models for Recommender Systems. In IJCAI, Melbourne, Australia, 3203-3209.","journal-title":"Australia"},{"key":"e_1_3_2_1_4_1","volume-title":"Tat-Seng Chua. 2017 Neural Collaborative Filtering. In Proceedings of the 26th international conference on world wide web, 173-182","author":"He Xiangnan","unstructured":"Xiangnan He , Lizi Liao , Hanwang Zhang , Liqiang Nie , Xia Hu , and Tat-Seng Chua. 2017 Neural Collaborative Filtering. In Proceedings of the 26th international conference on world wide web, 173-182 . Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, and Tat-Seng Chua. 2017 Neural Collaborative Filtering. In Proceedings of the 26th international conference on world wide web, 173-182."},{"key":"e_1_3_2_1_5_1","volume-title":"Proceedings of the 10th ACM international conference on web search and data mining, 425-434","author":"Zheng Lei","unstructured":"Lei Zheng , Vahid Noroozi , and Philip S. Yu . 2017 Joint deep modeling of users and items using reviews for recommendation . In Proceedings of the 10th ACM international conference on web search and data mining, 425-434 . Lei Zheng, Vahid Noroozi, and Philip S. Yu. 2017 Joint deep modeling of users and items using reviews for recommendation. In Proceedings of the 10th ACM international conference on web search and data mining, 425-434."},{"key":"e_1_3_2_1_6_1","volume-title":"Tat-Seng Chua. 2018 Outer Product-based Neural Collaborative Filtering. In Proceeding of the 27th International Joint Conference on Artificial Intelligence Main track, 2227-2233","author":"He Xiangnan","unstructured":"Xiangnan He , Xiaoyu Du , Xiang Wang , Feng Tian , Jinhui Tang , and Tat-Seng Chua. 2018 Outer Product-based Neural Collaborative Filtering. In Proceeding of the 27th International Joint Conference on Artificial Intelligence Main track, 2227-2233 . Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, and Tat-Seng Chua. 2018 Outer Product-based Neural Collaborative Filtering. In Proceeding of the 27th International Joint Conference on Artificial Intelligence Main track, 2227-2233."},{"key":"e_1_3_2_1_7_1","volume-title":"Article in User Modeling and User-Adapted Interaction","author":"Burke Robin","year":"2002","unstructured":"Robin Burke . 2002 Hybrid Recommender Systems: Survey and Experiments . In Article in User Modeling and User-Adapted Interaction , November 2002. Robin Burke. 2002 Hybrid Recommender Systems: Survey and Experiments. In Article in User Modeling and User-Adapted Interaction, November 2002."},{"key":"e_1_3_2_1_8_1","volume-title":"AAAI \u201819(Oral)","author":"Deng Zhi-Hong","year":"2019","unstructured":"Zhi-Hong Deng , Ling Huang , Chang-Dong Wang , Jian-Huang Lai , and Phillip S. Yu . 2019 DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System . In AAAI \u201819(Oral) , Honolulu, Hawaii, USA , January 27 \u2013 February 1, 2019 . Zhi-Hong Deng, Ling Huang, Chang-Dong Wang, Jian-Huang Lai, and Phillip S. Yu. 2019 DeepCF: A Unified Framework of Representation Learning and Matching Function Learning in Recommender System. In AAAI \u201819(Oral), Honolulu, Hawaii, USA, January 27 \u2013 February 1, 2019."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","unstructured":"Shervin Minaee Nal Kalchbrenner Erik Cambria Narjes Nikzad Meysam Chenaghlu and Jianfeng Gao. 2021 Deep Learning Based Text Classification: A Comprehensive Review.  Shervin Minaee Nal Kalchbrenner Erik Cambria Narjes Nikzad Meysam Chenaghlu and Jianfeng Gao. 2021 Deep Learning Based Text Classification: A Comprehensive Review.","DOI":"10.1145\/3439726"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Doris Kovalerchuk Divya Chandrika Kalla and Bedant Agarwal. 2021 Deep Learning Image Recognition for Non-images.  Doris Kovalerchuk Divya Chandrika Kalla and Bedant Agarwal. 2021 Deep Learning Image Recognition for Non-images.","DOI":"10.1007\/978-3-030-93119-3_3"},{"key":"e_1_3_2_1_11_1","volume-title":"2019 A survey of the Usages of Deep Learning for Natural Language Processing","author":"Otter Daniel W.","unstructured":"Daniel W. Otter , Julian R. Medina , and Jugal K. Kalita . 2019 A survey of the Usages of Deep Learning for Natural Language Processing . In IEEE Transactions on neural networks and learning systems, 1-21. Daniel W. Otter, Julian R. Medina, and Jugal K. Kalita. 2019 A survey of the Usages of Deep Learning for Natural Language Processing. In IEEE Transactions on neural networks and learning systems, 1-21."},{"key":"e_1_3_2_1_12_1","volume-title":"Hemal Shah. 2016 Wide & Deep Learning for Recommender Systems. In Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 7-10","author":"Cheng Heng-Tze","unstructured":"Heng-Tze Cheng , Levent Koc , Jeremiah Harmsen , Tal Shaked , Tushar Chandra , Hrishi Aradhye , Glen Anderson , Greg Corrado , Wei Chai , Mustafa Ispri , Rohan Anil , Zakaria Haque , Lichan Hong , Vihan Jain , Xiaobing Liu , and Hemal Shah. 2016 Wide & Deep Learning for Recommender Systems. In Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 7-10 . Heng-Tze Cheng, Levent Koc, Jeremiah Harmsen, Tal Shaked, Tushar Chandra, Hrishi Aradhye, Glen Anderson, Greg Corrado, Wei Chai, Mustafa Ispri, Rohan Anil, Zakaria Haque, Lichan Hong, Vihan Jain, Xiaobing Liu, and Hemal Shah. 2016 Wide & Deep Learning for Recommender Systems. In Proceedings of the 1st Workshop on Deep Learning for Recommender Systems, 7-10."},{"key":"e_1_3_2_1_13_1","first-page":"1093","volume-title":"Yi Fang. 2017 Neural Citation Network for Context-Aware Citation Recommendation. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval","author":"Ebesu Travis","year":"2017","unstructured":"Travis Ebesu , and Yi Fang. 2017 Neural Citation Network for Context-Aware Citation Recommendation. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval , August 2017 , 1093 - 1096 . Travis Ebesu, and Yi Fang. 2017 Neural Citation Network for Context-Aware Citation Recommendation. In Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, August 2017, 1093-1096."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2964284.2984068"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Samina Amin M. Irfan Uddin Saima Hassan Atif Khan Nidal Nasser Abdullah Alharbi and Hashem Alyami. 2020 Recurrent Neural Networks With TF-IDF Embedding Technique for Detection and Classification in Tweet of Dengue Disease.  Samina Amin M. Irfan Uddin Saima Hassan Atif Khan Nidal Nasser Abdullah Alharbi and Hashem Alyami. 2020 Recurrent Neural Networks With TF-IDF Embedding Technique for Detection and Classification in Tweet of Dengue Disease.","DOI":"10.1109\/ACCESS.2020.3009058"}],"event":{"name":"ICMLC 2022: 2022 14th International Conference on Machine Learning and Computing","location":"Guangzhou China","acronym":"ICMLC 2022"},"container-title":["2022 14th International Conference on Machine Learning and Computing (ICMLC)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3529836.3529925","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3529836.3529925","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:31:26Z","timestamp":1750188686000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3529836.3529925"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,18]]},"references-count":15,"alternative-id":["10.1145\/3529836.3529925","10.1145\/3529836"],"URL":"https:\/\/doi.org\/10.1145\/3529836.3529925","relation":{},"subject":[],"published":{"date-parts":[[2022,2,18]]},"assertion":[{"value":"2022-06-21","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}