{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T20:56:09Z","timestamp":1730321769122,"version":"3.28.0"},"publisher-location":"New York, NY, USA","reference-count":42,"publisher":"ACM","funder":[{"name":"PKU-Baidu fund","award":["2019BD005"]},{"name":"National Natural Science Foundation of China","award":["61772045"]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2020,10,19]]},"DOI":"10.1145\/3340531.3411939","type":"proceedings-article","created":{"date-parts":[[2020,10,19]],"date-time":"2020-10-19T05:31:04Z","timestamp":1603085464000},"page":"395-404","update-policy":"http:\/\/dx.doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":23,"title":["Set-Sequence-Graph: A Multi-View Approach Towards Exploiting Reviews for Recommendation"],"prefix":"10.1145","author":[{"given":"Jingyue","family":"Gao","sequence":"first","affiliation":[{"name":"Peking University, Beijing, China"}]},{"given":"Yang","family":"Lin","sequence":"additional","affiliation":[{"name":"Peking University, Beijing, China"}]},{"given":"Yasha","family":"Wang","sequence":"additional","affiliation":[{"name":"Peking University, Beijing, China"}]},{"given":"Xiting","family":"Wang","sequence":"additional","affiliation":[{"name":"Microsoft, Beijing, China"}]},{"given":"Zhao","family":"Yang","sequence":"additional","affiliation":[{"name":"Peking University, Beijing, China"}]},{"given":"Yuanduo","family":"He","sequence":"additional","affiliation":[{"name":"Tencent, Shenzhen, China"}]},{"given":"Xu","family":"Chu","sequence":"additional","affiliation":[{"name":"Peking University, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2020,10,19]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473","author":"Bahdanau Dzmitry","year":"2014","unstructured":"Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 ( 2014 ). Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014)."},{"key":"e_1_3_2_2_2_1","volume-title":"Topicmf: Simultaneously exploiting ratings and reviews for recommendation. In AAAI.","author":"Bao Yang","year":"2014","unstructured":"Yang Bao , Hui Fang , and Jie Zhang . 2014 . Topicmf: Simultaneously exploiting ratings and reviews for recommendation. In AAAI. Yang Bao, Hui Fang, and Jie Zhang. 2014. Topicmf: Simultaneously exploiting ratings and reviews for recommendation. In AAAI."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3097983.3097997"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Chong Chen Min Zhang Yiqun Liu and Shaoping Ma. 2018. Neural attentional rating regression with review-level explanations. In WWW. 1583--1592. Chong Chen Min Zhang Yiqun Liu and Shaoping Ma. 2018. Neural attentional rating regression with review-level explanations. In WWW. 1583--1592.","DOI":"10.1145\/3178876.3186070"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186145"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3271810"},{"key":"e_1_3_2_2_7_1","volume-title":"Dzmitry Bahdanau, and Yoshua Bengio.","author":"Cho Kyunghyun","year":"2014","unstructured":"Kyunghyun Cho , Bart Van Merri\u00ebnboer , Dzmitry Bahdanau, and Yoshua Bengio. 2014 . On the properties of neural machine translation: Encoder-decoder approaches. arXiv preprint arXiv:1409.1259 (2014). Kyunghyun Cho, Bart Van Merri\u00ebnboer, Dzmitry Bahdanau, and Yoshua Bengio. 2014. On the properties of neural machine translation: Encoder-decoder approaches. arXiv preprint arXiv:1409.1259 (2014)."},{"key":"e_1_3_2_2_8_1","volume-title":"Mlrda: A multi-task semi-supervised learning framework for drug-drug interaction prediction. In IJCAI. 4518--4524.","author":"Chu Xu","year":"2019","unstructured":"Xu Chu , Yang Lin , Yasha Wang , Leye Wang , Jiangtao Wang , and Jingyue Gao . 2019 . Mlrda: A multi-task semi-supervised learning framework for drug-drug interaction prediction. In IJCAI. 4518--4524. Xu Chu, Yang Lin, Yasha Wang, Leye Wang, Jiangtao Wang, and Jingyue Gao. 2019. Mlrda: A multi-task semi-supervised learning framework for drug-drug interaction prediction. In IJCAI. 4518--4524."},{"key":"e_1_3_2_2_9_1","unstructured":"Michael Cogswell Faruk Ahmed Ross Girshick Larry Zitnick and Dhruv Batra. 2016. Reducing overfitting in deep networks by decorrelating representations. In ICLR. Michael Cogswell Faruk Ahmed Ross Girshick Larry Zitnick and Dhruv Batra. 2016. Reducing overfitting in deep networks by decorrelating representations. In ICLR."},{"key":"e_1_3_2_2_10_1","unstructured":"Jingyue Gao Yuanduo He Yasha Wang Xiting Wang Jiangtao Wang Guangju Peng and Xu Chu. 2019 a. STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints. In CIKM. 1903--1912. Jingyue Gao Yuanduo He Yasha Wang Xiting Wang Jiangtao Wang Guangju Peng and Xu Chu. 2019 a. STAR: Spatio-Temporal Taxonomy-Aware Tag Recommendation for Citizen Complaints. In CIKM. 1903--1912."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"crossref","unstructured":"Jingyue Gao Xiting Wang Yasha Wang and Xing Xie. 2019 b. Explainable recommendation through attentive multi-view learning. In AAAI. 3622--3629. Jingyue Gao Xiting Wang Yasha Wang and Xing Xie. 2019 b. Explainable recommendation through attentive multi-view learning. In AAAI. 3622--3629.","DOI":"10.1609\/aaai.v33i01.33013622"},{"key":"e_1_3_2_2_12_1","unstructured":"Jingyue Gao Xiting Wang Yasha Wang Zhao Yang Junyi Gao Jiangtao Wang Wen Tang and Xing Xie. 2019 c. Camp: Co-attention memory networks for diagnosis prediction in healthcare. In ICDM. 1036--1041. Jingyue Gao Xiting Wang Yasha Wang Zhao Yang Junyi Gao Jiangtao Wang Wen Tang and Xing Xie. 2019 c. Camp: Co-attention memory networks for diagnosis prediction in healthcare. In ICDM. 1036--1041."},{"key":"e_1_3_2_2_13_1","unstructured":"Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. Advances in neural information processing systems. 1024--1034. Will Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive representation learning on large graphs. Advances in neural information processing systems. 1024--1034."},{"key":"e_1_3_2_2_14_1","unstructured":"Ruining He and Julian McAuley. 2016. Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering. In WWW. 507--517. Ruining He and Julian McAuley. 2016. Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative filtering. In WWW. 507--517."},{"key":"e_1_3_2_2_15_1","unstructured":"Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017. Neural collaborative filtering. In WWW. 173--182. Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017. Neural collaborative filtering. In WWW. 173--182."},{"key":"e_1_3_2_2_16_1","volume-title":"Long short-term memory. Neural computation","author":"Hochreiter Sepp","year":"1997","unstructured":"Sepp Hochreiter and J\u00fcrgen Schmidhuber . 1997. Long short-term memory. Neural computation , Vol. 9 , 8 ( 1997 ), 1735--1780. Sepp Hochreiter and J\u00fcrgen Schmidhuber. 1997. Long short-term memory. Neural computation, Vol. 9, 8 (1997), 1735--1780."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"crossref","unstructured":"Yoon Kim. 2014. Convolutional neural networks for sentence classification. In EMNLP. 1746--1751. Yoon Kim. 2014. Convolutional neural networks for sentence classification. In EMNLP. 1746--1751.","DOI":"10.3115\/v1\/D14-1181"},{"key":"e_1_3_2_2_18_1","volume-title":"Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980","author":"Kingma Diederik P","year":"2014","unstructured":"Diederik P Kingma and Jimmy Ba . 2014 . Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014). Diederik P Kingma and Jimmy Ba. 2014. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 (2014)."},{"key":"e_1_3_2_2_19_1","volume-title":"Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907","author":"Kipf Thomas N","year":"2016","unstructured":"Thomas N Kipf and Max Welling . 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 ( 2016 ). Thomas N Kipf and Max Welling. 2016. Semi-supervised classification with graph convolutional networks. arXiv preprint arXiv:1609.02907 (2016)."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"crossref","unstructured":"Yehuda Koren. 2008. Factorization meets the neighborhood: a multifaceted collaborative filtering model. In SIGKDD. 426--434. Yehuda Koren. 2008. Factorization meets the neighborhood: a multifaceted collaborative filtering model. In SIGKDD. 426--434.","DOI":"10.1145\/1401890.1401944"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_2_22_1","unstructured":"Daniel D Lee and H Sebastian Seung. 2001. Algorithms for non-negative matrix factorization. NeurIPS. 556--562. Daniel D Lee and H Sebastian Seung. 2001. Algorithms for non-negative matrix factorization. NeurIPS. 556--562."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"crossref","unstructured":"Chenliang Li Xichuan Niu Xiangyang Luo Zhenzhong Chen and Cong Quan. 2019. A Review-Driven Neural Model for Sequential Recommendation. In IJCAI. 2866--2872. Chenliang Li Xichuan Niu Xiangyang Luo Zhenzhong Chen and Cong Quan. 2019. A Review-Driven Neural Model for Sequential Recommendation. In IJCAI. 2866--2872.","DOI":"10.24963\/ijcai.2019\/397"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3336191.3371786"},{"key":"e_1_3_2_2_25_1","unstructured":"Donghua Liu Jing Li Bo Du Jun Chang and Rong Gao. 2019 a. DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation. In SIGKDD. 344--352. Donghua Liu Jing Li Bo Du Jun Chang and Rong Gao. 2019 a. DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation. In SIGKDD. 344--352."},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331371"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3269206.3272010"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"crossref","unstructured":"Liantao Ma Junyi Gao Yasha Wang Chaohe Zhang Jiangtao Wang Wenjie Ruan Wen Tang Xin Gao and Xinyu Ma. 2020 a. AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration. In AAAI. 825--832. Liantao Ma Junyi Gao Yasha Wang Chaohe Zhang Jiangtao Wang Wenjie Ruan Wen Tang Xin Gao and Xinyu Ma. 2020 a. AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration. In AAAI. 825--832.","DOI":"10.1609\/aaai.v34i01.5427"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"crossref","unstructured":"Liantao Ma Chaohe Zhang Yasha Wang Wenjie Ruan Jiangtao Wang Wen Tang Xinyu Ma Xin Gao and Junyi Gao. 2020 b. Concare: Personalized clinical feature embedding via capturing the healthcare context. In AAAI. 833--840. Liantao Ma Chaohe Zhang Yasha Wang Wenjie Ruan Jiangtao Wang Wen Tang Xinyu Ma Xin Gao and Junyi Gao. 2020 b. Concare: Personalized clinical feature embedding via capturing the healthcare context. In AAAI. 833--840.","DOI":"10.1609\/aaai.v34i01.5428"},{"key":"e_1_3_2_2_30_1","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"van der Maaten Laurens","year":"2008","unstructured":"Laurens van der Maaten and Geoffrey Hinton . 2008 . Visualizing data using t-SNE . Journal of machine learning research , Vol. 9 , Nov (2008), 2579 -- 2605 . Laurens van der Maaten and Geoffrey Hinton. 2008. Visualizing data using t-SNE. Journal of machine learning research, Vol. 9, Nov (2008), 2579--2605.","journal-title":"Journal of machine learning research"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"crossref","unstructured":"Julian McAuley and Jure Leskovec. 2013. Hidden factors and hidden topics: understanding rating dimensions with review text. In RecSys. 165--172. Julian McAuley and Jure Leskovec. 2013. Hidden factors and hidden topics: understanding rating dimensions with review text. In RecSys. 165--172.","DOI":"10.1145\/2507157.2507163"},{"key":"e_1_3_2_2_32_1","unstructured":"Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In NeurIPS. 3111--3119. Tomas Mikolov Ilya Sutskever Kai Chen Greg S Corrado and Jeff Dean. 2013. Distributed representations of words and phrases and their compositionality. In NeurIPS. 3111--3119."},{"key":"e_1_3_2_2_33_1","unstructured":"Andriy Mnih and Ruslan R Salakhutdinov. 2008. Probabilistic matrix factorization. In NeurIPS. 1257--1264. Andriy Mnih and Ruslan R Salakhutdinov. 2008. Probabilistic matrix factorization. In NeurIPS. 1257--1264."},{"key":"e_1_3_2_2_34_1","unstructured":"Daniel Neil Michael Pfeiffer and Shih-Chii Liu. 2016. Phased lstm: Accelerating recurrent network training for long or event-based sequences. In Advances in neural information processing systems. 3882--3890. Daniel Neil Michael Pfeiffer and Shih-Chii Liu. 2016. Phased lstm: Accelerating recurrent network training for long or event-based sequences. In Advances in neural information processing systems. 3882--3890."},{"key":"e_1_3_2_2_35_1","unstructured":"Sungyong Seo Jing Huang Hao Yang and Yan Liu. 2017. Interpretable convolutional neural networks with dual local and global attention for review rating prediction. In RecSys. ACM 297--305. Sungyong Seo Jing Huang Hao Yang and Yan Liu. 2017. Interpretable convolutional neural networks with dual local and global attention for review rating prediction. In RecSys. ACM 297--305."},{"key":"e_1_3_2_2_36_1","volume-title":"Edge attention-based multi-relational graph convolutional networks. arXiv preprint arXiv:1802.04944","author":"Shang Chao","year":"2018","unstructured":"Chao Shang , Qinqing Liu , Ko-Shin Chen , Jiangwen Sun , Jin Lu , Jinfeng Yi , and Jinbo Bi. 2018. Edge attention-based multi-relational graph convolutional networks. arXiv preprint arXiv:1802.04944 ( 2018 ). Chao Shang, Qinqing Liu, Ko-Shin Chen, Jiangwen Sun, Jin Lu, Jinfeng Yi, and Jinbo Bi. 2018. Edge attention-based multi-relational graph convolutional networks. arXiv preprint arXiv:1802.04944 (2018)."},{"key":"e_1_3_2_2_37_1","unstructured":"Yunzhi Tan Min Zhang Yiqun Liu and Shaoping Ma. 2016. Rating-boosted latent topics: Understanding users and items with ratings and reviews. In IJCAI. 2640--2646. Yunzhi Tan Min Zhang Yiqun Liu and Shaoping Ma. 2016. Rating-boosted latent topics: Understanding users and items with ratings and reviews. In IJCAI. 2640--2646."},{"key":"e_1_3_2_2_38_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems. 5998--6008. Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems. 5998--6008."},{"key":"e_1_3_2_2_39_1","volume-title":"Graph attention networks. arXiv preprint arXiv:1710.10903","author":"Petar Velivc","year":"2017","unstructured":"Petar Velivc kovi\u0107, Guillem Cucurull , Arantxa Casanova , Adriana Romero , Pietro Lio , and Yoshua Bengio . 2017. Graph attention networks. arXiv preprint arXiv:1710.10903 ( 2017 ). Petar Velivc kovi\u0107, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2017. Graph attention networks. arXiv preprint arXiv:1710.10903 (2017)."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Xiangnan He Meng Wang Fuli Feng and Tat-Seng Chua. 2019. Neural Graph Collaborative Filtering. In SIGIR. 165--174. Xiang Wang Xiangnan He Meng Wang Fuli Feng and Tat-Seng Chua. 2019. Neural Graph Collaborative Filtering. In SIGIR. 165--174.","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_2_41_1","volume-title":"Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. In EMNLP-IJCNLP. 4886--4895","author":"Wu Chuhan","year":"2019","unstructured":"Chuhan Wu , Fangzhao Wu , Tao Qi , Suyu Ge , Yongfeng Huang , and Xing Xie . 2019 . Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. In EMNLP-IJCNLP. 4886--4895 . Chuhan Wu, Fangzhao Wu, Tao Qi, Suyu Ge, Yongfeng Huang, and Xing Xie. 2019. Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. In EMNLP-IJCNLP. 4886--4895."},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"crossref","unstructured":"Lei Zheng Vahid Noroozi and Philip S Yu. 2017. Joint deep modeling of users and items using reviews for recommendation. In WSDM. 425--434. Lei Zheng Vahid Noroozi and Philip S Yu. 2017. Joint deep modeling of users and items using reviews for recommendation. In WSDM. 425--434.","DOI":"10.1145\/3018661.3018665"}],"event":{"name":"CIKM '20: The 29th 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":"Virtual Event Ireland","acronym":"CIKM '20"},"container-title":["Proceedings of the 29th ACM International Conference on Information & Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3340531.3411939","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,7,24]],"date-time":"2023-07-24T04:55:47Z","timestamp":1690174547000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3340531.3411939"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,10,19]]},"references-count":42,"alternative-id":["10.1145\/3340531.3411939","10.1145\/3340531"],"URL":"https:\/\/doi.org\/10.1145\/3340531.3411939","relation":{},"subject":[],"published":{"date-parts":[[2020,10,19]]},"assertion":[{"value":"2020-10-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}