{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,22]],"date-time":"2026-07-22T16:32:35Z","timestamp":1784737955413,"version":"3.55.0"},"publisher-location":"New York, NY, USA","reference-count":53,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,4,19]],"date-time":"2021-04-19T00:00:00Z","timestamp":1618790400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,4,19]]},"DOI":"10.1145\/3442381.3450133","type":"proceedings-article","created":{"date-parts":[[2021,6,3]],"date-time":"2021-06-03T19:34:17Z","timestamp":1622748857000},"page":"878-887","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":541,"title":["Learning Intents behind Interactions with Knowledge Graph for Recommendation"],"prefix":"10.1145","author":[{"given":"Xiang","family":"Wang","sequence":"first","affiliation":[{"name":"National University of Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tinglin","family":"Huang","sequence":"additional","affiliation":[{"name":"Zhejiang University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dingxian","family":"Wang","sequence":"additional","affiliation":[{"name":"eBay, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yancheng","family":"Yuan","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhenguang","family":"Liu","sequence":"additional","affiliation":[{"name":"Zhejiang Gongshang University, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiangnan","family":"He","sequence":"additional","affiliation":[{"name":"University of Science and Technology of China, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tat-Seng","family":"Chua","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,6,3]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.3390\/a11090137"},{"key":"e_1_3_2_1_2_1","unstructured":"Mohamed\u00a0Ishmael Belghazi Aristide Baratin Sai Rajeswar Sherjil Ozair Yoshua Bengio R.\u00a0Devon Hjelm and Aaron\u00a0C. Courville. 2018. Mutual Information Neural Estimation. In ICML Vol.\u00a080. 530\u2013539.  Mohamed\u00a0Ishmael Belghazi Aristide Baratin Sai Rajeswar Sherjil Ozair Yoshua Bengio R.\u00a0Devon Hjelm and Aaron\u00a0C. Courville. 2018. Mutual Information Neural Estimation. In ICML Vol.\u00a080. 530\u2013539."},{"key":"e_1_3_2_1_3_1","unstructured":"Antoine Bordes Nicolas Usunier Alberto Garc\u00eda-Dur\u00e1n Jason Weston and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In NeurIPS. 2787\u20132795.  Antoine Bordes Nicolas Usunier Alberto Garc\u00eda-Dur\u00e1n Jason Weston and Oksana Yakhnenko. 2013. Translating Embeddings for Modeling Multi-relational Data. In NeurIPS. 2787\u20132795."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Yixin Cao Xiang Wang Xiangnan He Zikun Hu and Tat-Seng Chua. 2019. Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. In WWW. 151\u2013161.  Yixin Cao Xiang Wang Xiangnan He Zikun Hu and Tat-Seng Chua. 2019. Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences. In WWW. 151\u2013161.","DOI":"10.1145\/3308558.3313705"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"crossref","unstructured":"Rose Catherine and William\u00a0W. Cohen. 2016. Personalized Recommendations using Knowledge Graphs: A Probabilistic Logic Programming Approach. In RecSys. 325\u2013332.  Rose Catherine and William\u00a0W. Cohen. 2016. Personalized Recommendations using Knowledge Graphs: A Probabilistic Logic Programming Approach. In RecSys. 325\u2013332.","DOI":"10.1145\/2959100.2959131"},{"key":"e_1_3_2_1_6_1","volume-title":"Bias and Debias in Recommender System: A Survey and Future Directions. CoRR","author":"Chen Jiawei","year":"2020","unstructured":"Jiawei Chen , Hande Dong , Xiang Wang , Fuli Feng , Meng Wang , and Xiangnan He. 2020. Bias and Debias in Recommender System: A Survey and Future Directions. CoRR ( 2020 ). Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, and Xiangnan He. 2020. Bias and Debias in Recommender System: A Survey and Future Directions. CoRR (2020)."},{"key":"e_1_3_2_1_7_1","unstructured":"Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey\u00a0E. Hinton. 2020. A Simple Framework for Contrastive Learning of Visual Representations. In ICML Vol.\u00a0119. 1597\u20131607.  Ting Chen Simon Kornblith Mohammad Norouzi and Geoffrey\u00a0E. Hinton. 2020. A Simple Framework for Contrastive Learning of Visual Representations. In ICML Vol.\u00a0119. 1597\u20131607."},{"key":"e_1_3_2_1_8_1","volume-title":"POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. In KDD. 2662\u20132670.","author":"Chen Wen","year":"2019","unstructured":"Wen Chen , Pipei Huang , Jiaming Xu , Xin Guo , Cheng Guo , Fei Sun , Chao Li , Andreas Pfadler , Huan Zhao , and Binqiang Zhao . 2019 . POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. In KDD. 2662\u20132670. Wen Chen, Pipei Huang, Jiaming Xu, Xin Guo, Cheng Guo, Fei Sun, Chao Li, Andreas Pfadler, Huan Zhao, and Binqiang Zhao. 2019. POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion. In KDD. 2662\u20132670."},{"key":"e_1_3_2_1_9_1","volume-title":"Benchmarking Graph Neural Networks. CoRR","author":"Dwivedi Vijay\u00a0Prakash","year":"2020","unstructured":"Vijay\u00a0Prakash Dwivedi , Chaitanya\u00a0 K. Joshi , Thomas Laurent , Yoshua Bengio , and Xavier Bresson . 2020. Benchmarking Graph Neural Networks. CoRR ( 2020 ). Vijay\u00a0Prakash Dwivedi, Chaitanya\u00a0K. Joshi, Thomas Laurent, Yoshua Bengio, and Xavier Bresson. 2020. Benchmarking Graph Neural Networks. CoRR (2020)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiopen.2021.06.002"},{"key":"e_1_3_2_1_11_1","unstructured":"Xavier Glorot and Yoshua Bengio. 2010. Understanding the difficulty of training deep feedforward neural networks. In AISTATS Vol.\u00a09. 249\u2013256.  Xavier Glorot and Yoshua Bengio. 2010. Understanding the difficulty of training deep feedforward neural networks. In AISTATS Vol.\u00a09. 249\u2013256."},{"key":"e_1_3_2_1_12_1","unstructured":"Michael Gutmann and Aapo Hyv\u00e4rinen. 2010. Noise-contrastive estimation: A new estimation principle for unnormalized statistical models. In AISTATS Vol.\u00a09. 297\u2013304.  Michael Gutmann and Aapo Hyv\u00e4rinen. 2010. Noise-contrastive estimation: A new estimation principle for unnormalized statistical models. In AISTATS Vol.\u00a09. 297\u2013304."},{"key":"e_1_3_2_1_13_1","unstructured":"William\u00a0L. Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive Representation Learning on Large Graphs. In NeurIPS. 1024\u20131034.  William\u00a0L. Hamilton Zhitao Ying and Jure Leskovec. 2017. Inductive Representation Learning on Large Graphs. In NeurIPS. 1024\u20131034."},{"key":"e_1_3_2_1_14_1","unstructured":"Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang and Meng Wang. 2020. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. In SIGIR.  Xiangnan He Kuan Deng Xiang Wang Yan Li Yongdong Zhang and Meng Wang. 2020. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation. In SIGIR."},{"key":"e_1_3_2_1_15_1","unstructured":"Binbin Hu Chuan Shi Wayne\u00a0Xin Zhao and Philip\u00a0S Yu. 2018. Leveraging meta-path based context for top-n recommendation with a neural co-attention model. In KDD. 1531\u20131540.  Binbin Hu Chuan Shi Wayne\u00a0Xin Zhao and Philip\u00a0S Yu. 2018. Leveraging meta-path based context for top-n recommendation with a neural co-attention model. In KDD. 1531\u20131540."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Jin Huang Wayne\u00a0Xin Zhao Hongjian Dou Ji-Rong Wen and Edward\u00a0Y. Chang. 2018. Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks. In SIGIR. 505\u2013514.  Jin Huang Wayne\u00a0Xin Zhao Hongjian Dou Ji-Rong Wen and Edward\u00a0Y. Chang. 2018. Improving Sequential Recommendation with Knowledge-Enhanced Memory Networks. In SIGIR. 505\u2013514.","DOI":"10.1145\/3209978.3210017"},{"key":"e_1_3_2_1_17_1","unstructured":"Jiarui Jin Jiarui Qin Yuchen Fang Kounianhua Du Weinan Zhang Yong Yu Zheng Zhang and Alexander\u00a0J. Smola. 2020. An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. In KDD. 75\u201384.  Jiarui Jin Jiarui Qin Yuchen Fang Kounianhua Du Weinan Zhang Yong Yu Zheng Zhang and Alexander\u00a0J. Smola. 2020. An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. In KDD. 75\u201384."},{"key":"e_1_3_2_1_18_1","volume-title":"Kingma and Jimmy Ba","author":"P.","year":"2015","unstructured":"Diederik\u00a0 P. Kingma and Jimmy Ba . 2015 . Adam : A Method for Stochastic Optimization. In ICLR. Diederik\u00a0P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In ICLR."},{"key":"e_1_3_2_1_19_1","volume-title":"Kipf and Max Welling","author":"N.","year":"2017","unstructured":"Thomas\u00a0 N. Kipf and Max Welling . 2017 . Semi-Supervised Classification with Graph Convolutional Networks. In ICLR. Thomas\u00a0N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In ICLR."},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"crossref","unstructured":"Walid Krichene and Steffen Rendle. 2020. On Sampled Metrics for Item Recommendation. In KDD. 1748\u20131757.  Walid Krichene and Steffen Rendle. 2020. On Sampled Metrics for Item Recommendation. In KDD. 1748\u20131757.","DOI":"10.1145\/3394486.3403226"},{"key":"e_1_3_2_1_21_1","unstructured":"Wenqiang Lei Gangyi Zhang Xiangnan He Yisong Miao Xiang Wang Liang Chen and Tat-Seng Chua. 2020. Interactive Path Reasoning on Graph for Conversational Recommendation. In KDD. 2073\u20132083.  Wenqiang Lei Gangyi Zhang Xiangnan He Yisong Miao Xiang Wang Liang Chen and Tat-Seng Chua. 2020. Interactive Path Reasoning on Graph for Conversational Recommendation. In KDD. 2073\u20132083."},{"key":"e_1_3_2_1_22_1","unstructured":"Yankai Lin Zhiyuan Liu Maosong Sun Yang Liu and Xuan Zhu. 2015. Learning Entity and Relation Embeddings for Knowledge Graph Completion. In AAAI. 2181\u20132187.  Yankai Lin Zhiyuan Liu Maosong Sun Yang Liu and Xuan Zhu. 2015. Learning Entity and Relation Embeddings for Knowledge Graph Completion. In AAAI. 2181\u20132187."},{"key":"e_1_3_2_1_23_1","unstructured":"Jianxin Ma Peng Cui Kun Kuang Xin Wang and Wenwu Zhu. 2019. Disentangled Graph Convolutional Networks. In ICML Vol.\u00a097. 4212\u20134221.  Jianxin Ma Peng Cui Kun Kuang Xin Wang and Wenwu Zhu. 2019. Disentangled Graph Convolutional Networks. In ICML Vol.\u00a097. 4212\u20134221."},{"key":"e_1_3_2_1_24_1","unstructured":"Jianxin Ma Chang Zhou Peng Cui Hongxia Yang and Wenwu Zhu. 2019. Learning Disentangled Representations for Recommendation. In NeurIPS. 5712\u20135723.  Jianxin Ma Chang Zhou Peng Cui Hongxia Yang and Wenwu Zhu. 2019. Learning Disentangled Representations for Recommendation. In NeurIPS. 5712\u20135723."},{"key":"e_1_3_2_1_25_1","unstructured":"Weizhi Ma Min Zhang Yue Cao Woojeong Jin Chenyang Wang Yiqun Liu Shaoping Ma and Xiang Ren. 2019. Jointly Learning Explainable Rules for Recommendation with Knowledge Graph. In WWW. 1210\u20131221.  Weizhi Ma Min Zhang Yue Cao Woojeong Jin Chenyang Wang Yiqun Liu Shaoping Ma and Xiang Ren. 2019. Jointly Learning Explainable Rules for Recommendation with Knowledge Graph. In WWW. 1210\u20131221."},{"key":"e_1_3_2_1_26_1","volume-title":"BPR: Bayesian Personalized Ranking from Implicit Feedback. In UAI. 452\u2013461.","author":"Rendle Steffen","year":"2009","unstructured":"Steffen Rendle , Christoph Freudenthaler , Zeno Gantner , and Lars Schmidt-Thieme . 2009 . BPR: Bayesian Personalized Ranking from Implicit Feedback. In UAI. 452\u2013461. Steffen Rendle, Christoph Freudenthaler, Zeno Gantner, and Lars Schmidt-Thieme. 2009. BPR: Bayesian Personalized Ranking from Implicit Feedback. In UAI. 452\u2013461."},{"key":"e_1_3_2_1_27_1","volume-title":"Ivan Titov, and Max Welling.","author":"Schlichtkrull Michael","year":"2018","unstructured":"Michael Schlichtkrull , Thomas\u00a0 N Kipf , Peter Bloem , Rianne Van Den\u00a0Berg , Ivan Titov, and Max Welling. 2018 . Modeling relational data with graph convolutional networks. In ESWC. 593\u2013607. Michael Schlichtkrull, Thomas\u00a0N Kipf, Peter Bloem, Rianne Van Den\u00a0Berg, Ivan Titov, and Max Welling. 2018. Modeling relational data with graph convolutional networks. In ESWC. 593\u2013607."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2018.2833443"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2016.2598561"},{"key":"e_1_3_2_1_30_1","unstructured":"Zhiqing Sun Zhi-Hong Deng Jian-Yun Nie and Jian Tang. 2019. RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. In ICLR.  Zhiqing Sun Zhi-Hong Deng Jian-Yun Nie and Jian Tang. 2019. RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space. In ICLR."},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"crossref","unstructured":"Zhu Sun Jie Yang Jie Zhang Alessandro Bozzon Long-Kai Huang and Chi Xu. 2018. Recurrent knowledge graph embedding for effective recommendation. In RecSys. 297\u2013305.  Zhu Sun Jie Yang Jie Zhang Alessandro Bozzon Long-Kai Huang and Chi Xu. 2018. Recurrent knowledge graph embedding for effective recommendation. In RecSys. 297\u2013305.","DOI":"10.1145\/3240323.3240361"},{"key":"e_1_3_2_1_32_1","unstructured":"G\u00e1bor\u00a0J Sz\u00e9kely and Maria\u00a0L Rizzo. 2009. Brownian distance covariance. The annals of applied statistics(2009) 1236\u20131265.  G\u00e1bor\u00a0J Sz\u00e9kely and Maria\u00a0L Rizzo. 2009. Brownian distance covariance. The annals of applied statistics(2009) 1236\u20131265."},{"key":"e_1_3_2_1_33_1","volume-title":"Measuring and testing dependence by correlation of distances. The annals of statistics 35, 6","author":"Sz\u00e9kely J","year":"2007","unstructured":"G\u00e1bor\u00a0 J Sz\u00e9kely , Maria\u00a0 L Rizzo , Nail\u00a0 K Bakirov , 2007. Measuring and testing dependence by correlation of distances. The annals of statistics 35, 6 ( 2007 ), 2769\u20132794. G\u00e1bor\u00a0J Sz\u00e9kely, Maria\u00a0L Rizzo, Nail\u00a0K Bakirov, 2007. Measuring and testing dependence by correlation of distances. The annals of statistics 35, 6 (2007), 2769\u20132794."},{"key":"e_1_3_2_1_34_1","unstructured":"Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Li\u00f2 and Yoshua Bengio. 2018. Graph Attention Networks. In ICLR.  Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Li\u00f2 and Yoshua Bengio. 2018. Graph Attention Networks. In ICLR."},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"Chenyang Wang Min Zhang Weizhi Ma Yiqun Liu and Shaoping Ma. 2020. Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation. In SIGIR. 109\u2013118.  Chenyang Wang Min Zhang Weizhi Ma Yiqun Liu and Shaoping Ma. 2020. Make It a Chorus: Knowledge- and Time-aware Item Modeling for Sequential Recommendation. In SIGIR. 109\u2013118.","DOI":"10.1145\/3397271.3401131"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","unstructured":"Hongwei Wang Fuzheng Zhang Jialin Wang Miao Zhao Wenjie Li Xing Xie and Minyi Guo. 2018. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems. In CIKM. 417\u2013426.  Hongwei Wang Fuzheng Zhang Jialin Wang Miao Zhao Wenjie Li Xing Xie and Minyi Guo. 2018. RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems. In CIKM. 417\u2013426.","DOI":"10.1145\/3269206.3271739"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186175"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Hongwei Wang Fuzheng Zhang Mengdi Zhang Jure Leskovec Miao Zhao Wenjie Li and Zhongyuan Wang. 2019. Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. In KDD. 968\u2013977.  Hongwei Wang Fuzheng Zhang Mengdi Zhang Jure Leskovec Miao Zhao Wenjie Li and Zhongyuan Wang. 2019. Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems. In KDD. 968\u2013977.","DOI":"10.1145\/3292500.3330836"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Hongwei Wang Miao Zhao Xing Xie Wenjie Li and Minyi Guo. 2019. Knowledge Graph Convolutional Networks for Recommender Systems. In WWW. 3307\u20133313.  Hongwei Wang Miao Zhao Xing Xie Wenjie Li and Minyi Guo. 2019. Knowledge Graph Convolutional Networks for Recommender Systems. In WWW. 3307\u20133313.","DOI":"10.1145\/3308558.3313417"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401134"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330989"},{"key":"e_1_3_2_1_42_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\u2013174.  Xiang Wang Xiangnan He Meng Wang Fuli Feng and Tat-Seng Chua. 2019. Neural Graph Collaborative Filtering. In SIGIR. 165\u2013174.","DOI":"10.1145\/3331184.3331267"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu and Tat-Seng Chua. 2020. Disentangled Graph Collaborative Filtering. In SIGIR. 1001\u20131010.  Xiang Wang Hongye Jin An Zhang Xiangnan He Tong Xu and Tat-Seng Chua. 2020. Disentangled Graph Collaborative Filtering. In SIGIR. 1001\u20131010.","DOI":"10.1145\/3397271.3401137"},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Dingxian Wang Canran Xu Xiangnan He Yixin Cao and Tat-Seng Chua. 2019. Explainable Reasoning over Knowledge Graphs for Recommendation. In AAAI. 5329\u20135336.  Xiang Wang Dingxian Wang Canran Xu Xiangnan He Yixin Cao and Tat-Seng Chua. 2019. Explainable Reasoning over Knowledge Graphs for Recommendation. In AAAI. 5329\u20135336.","DOI":"10.1609\/aaai.v33i01.33015329"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","unstructured":"Xiang Wang Yaokun Xu Xiangnan He Yixin Cao Meng Wang and Tat-Seng Chua. 2020. Reinforced Negative Sampling over Knowledge Graph for Recommendation. In WWW. 99\u2013109.  Xiang Wang Yaokun Xu Xiangnan He Yixin Cao Meng Wang and Tat-Seng Chua. 2020. Reinforced Negative Sampling over Knowledge Graph for Recommendation. In WWW. 99\u2013109.","DOI":"10.1145\/3366423.3380098"},{"key":"e_1_3_2_1_46_1","unstructured":"Zhigang Wang and Juan-Zi Li. 2016. Text-Enhanced Representation Learning for Knowledge Graph. In IJCAI. 1293\u20131299.  Zhigang Wang and Juan-Zi Li. 2016. Text-Enhanced Representation Learning for Knowledge Graph. In IJCAI. 1293\u20131299."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401141"},{"key":"e_1_3_2_1_48_1","unstructured":"Felix Wu Amauri H.\u00a0Souza  Jr. Tianyi Zhang Christopher Fifty Tao Yu and Kilian\u00a0Q. Weinberger. 2019. Simplifying Graph Convolutional Networks. In ICML Vol.\u00a097. 6861\u20136871.  Felix Wu Amauri H.\u00a0Souza Jr. Tianyi Zhang Christopher Fifty Tao Yu and Kilian\u00a0Q. Weinberger. 2019. Simplifying Graph Convolutional Networks. In ICML Vol.\u00a097. 6861\u20136871."},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"crossref","unstructured":"Yikun Xian Zuohui Fu S. Muthukrishnan Gerard de Melo and Yongfeng Zhang. 2019. Reinforcement Knowledge Graph Reasoning for Explainable Recommendation. In SIGIR. 285\u2013294.  Yikun Xian Zuohui Fu S. Muthukrishnan Gerard de Melo and Yongfeng Zhang. 2019. Reinforcement Knowledge Graph Reasoning for Explainable Recommendation. In SIGIR. 285\u2013294.","DOI":"10.1145\/3331184.3331203"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"crossref","unstructured":"Wenhan Xiong Thien Hoang and William\u00a0Yang Wang. 2017. DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning. In EMNLP. 564\u2013573.  Wenhan Xiong Thien Hoang and William\u00a0Yang Wang. 2017. DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning. In EMNLP. 564\u2013573.","DOI":"10.18653\/v1\/D17-1060"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"crossref","unstructured":"Fuzheng Zhang Nicholas\u00a0Jing Yuan Defu Lian Xing Xie and Wei-Ying Ma. 2016. Collaborative Knowledge Base Embedding for Recommender Systems. In KDD. 353\u2013362.  Fuzheng Zhang Nicholas\u00a0Jing Yuan Defu Lian Xing Xie and Wei-Ying Ma. 2016. Collaborative Knowledge Base Embedding for Recommender Systems. In KDD. 353\u2013362.","DOI":"10.1145\/2939672.2939673"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"crossref","unstructured":"Kangzhi Zhao Xiting Wang Yuren Zhang Li Zhao Zheng Liu Chunxiao Xing and Xing Xie. 2020. Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. In SIGIR. 239\u2013248.  Kangzhi Zhao Xiting Wang Yuren Zhang Li Zhao Zheng Liu Chunxiao Xing and Xing Xie. 2020. Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs. In SIGIR. 239\u2013248.","DOI":"10.1145\/3397271.3401171"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"crossref","unstructured":"Sijin Zhou Xinyi Dai Haokun Chen Weinan Zhang Kan Ren Ruiming Tang Xiuqiang He and Yong Yu. 2020. Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. In SIGIR. 179\u2013188.  Sijin Zhou Xinyi Dai Haokun Chen Weinan Zhang Kan Ren Ruiming Tang Xiuqiang He and Yong Yu. 2020. Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. In SIGIR. 179\u2013188.","DOI":"10.1145\/3397271.3401174"}],"event":{"name":"WWW '21: The Web Conference 2021","location":"Ljubljana Slovenia","acronym":"WWW '21","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"]},"container-title":["Proceedings of the Web Conference 2021"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3450133","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3442381.3450133","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:28Z","timestamp":1750195468000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3442381.3450133"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,19]]},"references-count":53,"alternative-id":["10.1145\/3442381.3450133","10.1145\/3442381"],"URL":"https:\/\/doi.org\/10.1145\/3442381.3450133","relation":{},"subject":[],"published":{"date-parts":[[2021,4,19]]},"assertion":[{"value":"2021-06-03","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}