{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,10]],"date-time":"2026-03-10T21:01:38Z","timestamp":1773176498551,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":49,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,7,18]],"date-time":"2023-07-18T00:00:00Z","timestamp":1689638400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"the National Key Research and Development Program of China","award":["2021ZD0111802"],"award-info":[{"award-number":["2021ZD0111802"]}]},{"name":"the Young Scientists Fund of the National Natural Science Foundation of China","award":["62006066"],"award-info":[{"award-number":["62006066"]}]},{"name":"Major Project of Anhui Province","award":["202203a05020011"],"award-info":[{"award-number":["202203a05020011"]}]},{"name":"the National Natural Science Foundation of China","award":["61972125, 61972125, 61932009, U1936219"],"award-info":[{"award-number":["61972125, 61972125, 61932009, U1936219"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,7,19]]},"DOI":"10.1145\/3539618.3591776","type":"proceedings-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T00:22:23Z","timestamp":1689726143000},"page":"1188-1197","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":17,"title":["Topic-enhanced Graph Neural Networks for Extraction-based Explainable Recommendation"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-0711-2404","authenticated-orcid":false,"given":"Jie","family":"Shuai","sequence":"first","affiliation":[{"name":"Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4556-0581","authenticated-orcid":false,"given":"Le","family":"Wu","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0743-9003","authenticated-orcid":false,"given":"Kun","family":"Zhang","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9733-0521","authenticated-orcid":false,"given":"Peijie","family":"Sun","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5461-3986","authenticated-orcid":false,"given":"Richang","family":"Hong","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3094-7735","authenticated-orcid":false,"given":"Meng","family":"Wang","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, China"}]}],"member":"320","published-online":{"date-parts":[[2023,7,18]]},"reference":[{"key":"e_1_3_2_2_1_1","volume-title":"Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation. Algorithms","author":"Ai Qingyao","year":"2018","unstructured":"Qingyao Ai, Vahid Azizi, Xu Chen, and Yongfeng Zhang. 2018. Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation. Algorithms (2018)."},{"key":"e_1_3_2_2_2_1","volume-title":"Jordan","author":"Blei David M.","year":"2003","unstructured":"David M. Blei, Andrew Y. Ng, and Michael I. Jordan. 2003. Latent Dirichlet Allocation. JMLR (2003), 993--1022."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Rose Catherine and William Cohen. 2017. TransNets: Learning to Transform for Recommendation. In RecSys. 288--296.","DOI":"10.1145\/3109859.3109878"},{"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.","DOI":"10.1145\/3178876.3186070"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Lei Chen Le Wu Richang Hong Kun Zhang and Meng Wang. 2019. Revisiting Graph Based Collaborative Filtering : A Linear Residual Graph Convolutional Network Approach. In AAAI. 27--34.","DOI":"10.1609\/aaai.v34i01.5330"},{"key":"e_1_3_2_2_6_1","unstructured":"Hongliang Dai and Yangqiu Song. 2019. Neural Aspect and Opinion Term Extraction with Mined Rules as Weak Supervision. In ACL."},{"key":"e_1_3_2_2_7_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In EMNLP.","author":"Devlin Jacob","year":"2019","unstructured":"Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In EMNLP."},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"crossref","unstructured":"Li Dong Shaohan Huang Furu Wei Mirella Lapata Ming Zhou and Ke Xu. 2017. Learning to Generate Product Reviews from Attributes. In EACL.","DOI":"10.18653\/v1\/E17-1059"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i14.17520"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"crossref","unstructured":"Jingyue Gao Yang Lin Yasha Wang Xiting Wang Zhao Yang Yuanduo He and Xu Chu. 2020. Set-Sequence -Graph : A Multi -View Approach Towards Exploiting Reviews for Recommendation. In CIKM. 395--404.","DOI":"10.1145\/3340531.3411939"},{"key":"e_1_3_2_2_11_1","volume-title":"BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv preprint arXiv:2203.05794","author":"Grootendorst Maarten","year":"2022","unstructured":"Maarten Grootendorst. 2022. BERTopic: Neural topic modeling with a class-based TF-IDF procedure. arXiv preprint arXiv:2203.05794 (2022)."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"crossref","unstructured":"Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017. Neural Collaborative Filtering. In WWW. 173--182.","DOI":"10.1145\/3038912.3052569"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"crossref","unstructured":"Jonathan L. Herlocker Joseph A. Konstan and John Riedl. 2000. Explaining Collaborative Filtering Recommendations. In CSCW.","DOI":"10.1145\/358916.358995"},{"key":"e_1_3_2_2_14_1","volume-title":"Personal or General? A Hybrid Strategy with Multi-Factors for News Recommendation. ACM TOIS","author":"Huang Zhenya","year":"2022","unstructured":"Zhenya Huang, Binbin Jin, Hongke Zhao, Qi Liu, Defu Lian, Tengfei Bao, and Enhong Chen. 2022. Personal or General? A Hybrid Strategy with Multi-Factors for News Recommendation. ACM TOIS (2022)."},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"crossref","unstructured":"Dongmin Hyun Chanyoung Park Min-Chul Yang Ilhyeon Song Jung-Tae Lee and Hwanjo Yu. 2018. Review Sentiment-Guided Scalable Deep Recommender System. In SIGIR. 965--968.","DOI":"10.1145\/3209978.3210111"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"crossref","unstructured":"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_17_1","volume-title":"Kingma and Jimmy Ba","author":"Diederik","year":"2015","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015. Adam: A Method for Stochastic Optimization. In ICLR."},{"key":"e_1_3_2_2_18_1","volume-title":"Kipf and Max Welling","author":"Thomas","year":"2017","unstructured":"Thomas N. Kipf and Max Welling. 2017. Semi-Supervised Classification with Graph Convolutional Networks. In ICLR."},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/MC.2009.263"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"crossref","unstructured":"Lei Li Yongfeng Zhang and Li Chen. 2020. Generate Neural Template Explanations for Recommendation. In CIKM.","DOI":"10.1145\/3340531.3411992"},{"key":"e_1_3_2_2_21_1","volume-title":"EXTRA: Explanation Ranking Datasets for Explainable Recommendation. In SIGIR.","author":"Li Lei","year":"2021","unstructured":"Lei Li, Yongfeng Zhang, and Li Chen. 2021a. EXTRA: Explanation Ranking Datasets for Explainable Recommendation. In SIGIR."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"crossref","unstructured":"Lei Li Yongfeng Zhang and Li Chen. 2021b. Personalized Transformer for Explainable Recommendation. In ACL.","DOI":"10.18653\/v1\/2021.acl-long.383"},{"key":"e_1_3_2_2_23_1","unstructured":"Piji Li Zihao Wang Zhaochun Ren Lidong Bing and Wai Lam. 2017. Neural Rating Regression with Abstractive Tips Generation for Recommendation. In SIGIR."},{"key":"e_1_3_2_2_24_1","volume-title":"DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation. In SIGKDD. 344--352.","author":"Liu Donghua","year":"2019","unstructured":"Donghua Liu, Jing Li, Bo Du, Jun Chang, and Rong Gao. 2019. DAML: Dual Attention Mutual Learning between Ratings and Reviews for Item Recommendation. In SIGKDD. 344--352."},{"key":"e_1_3_2_2_25_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.","DOI":"10.1145\/2507157.2507163"},{"key":"e_1_3_2_2_26_1","volume-title":"Snippext: Semi-supervised Opinion Mining with Augmented\u00a0Data. In WWW.","author":"Miao Zhengjie","year":"2020","unstructured":"Zhengjie Miao, Yuliang Li, Xiaolan Wang, and Wang-Chiew Tan. 2020. Snippext: Semi-supervised Opinion Mining with Augmented\u00a0Data. In WWW."},{"key":"e_1_3_2_2_27_1","volume-title":"Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects","author":"Ni Jianmo","unstructured":"Jianmo Ni, Jiacheng Li, and Julian McAuley. 2019. Justifying Recommendations using Distantly-Labeled Reviews and Fine-Grained Aspects. In EMNLP-IJCNLP. Association for Computational Linguistics."},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2112"},{"key":"e_1_3_2_2_29_1","unstructured":"Reinald Adrian Pugoy and Hung-Yu Kao. 2021. Unsupervised Extractive Summarization-Based Representations for Accurate and Explainable Collaborative Filtering. In ACL-IJCNLP. 2981--2990."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0706851105"},{"key":"e_1_3_2_2_31_1","first-page":"593","article-title":"Modeling relational data with graph convolutional networks","volume":"10843","author":"Schlichtkrull Michael Sejr","year":"2018","unstructured":"Michael Sejr Schlichtkrull, Thomas N. Kipf, Peter Bloem, Rianne van den Berg, Ivan Titov, and Max Welling. 2018. Modeling relational data with graph convolutional networks. In ESWC, Vol. 10843. 593--607.","journal-title":"ESWC"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"crossref","unstructured":"Pengyang Shao Le Wu Lei Chen Kun Zhang and Meng Wang. 2022. FairCF: Fairness-aware Collaborative Filtering. Sci. China Inf. Sci. (2022).","DOI":"10.1007\/s11432-020-3404-y"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"crossref","unstructured":"Jie Shuai Kun Zhang Le Wu Peijie Sun Richang Hong Meng Wang and Yong Li. 2022. A Review-Aware Graph Contrastive Learning Framework for Recommendation. In SIGIR.","DOI":"10.1145\/3477495.3531927"},{"key":"e_1_3_2_2_34_1","volume-title":"Whitening sentence representations for better semantics and faster retrieval. arXiv preprint arXiv:2103.15316","author":"Su Jianlin","year":"2021","unstructured":"Jianlin Su, Jiarun Cao, Weijie Liu, and Yangyiwen Ou. 2021. Whitening sentence representations for better semantics and faster retrieval. arXiv preprint arXiv:2103.15316 (2021)."},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"crossref","unstructured":"Peijie Sun Le Wu Kun Zhang Yanjie Fu Richang Hong and Meng Wang. 2020. Dual Learning for Explainable Recommendation: Towards Unifying User Preference Prediction and Review Generation. In WWW. 837--847.","DOI":"10.1145\/3366423.3380164"},{"key":"e_1_3_2_2_36_1","volume-title":"An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation. ACM TOIS","author":"Sun Peijie","year":"2021","unstructured":"Peijie Sun, Le Wu, Kun Zhang, Yu Su, and Meng Wang. 2021. An Unsupervised Aspect-Aware Recommendation Model with Explanation Text Generation. ACM TOIS (2021)."},{"key":"e_1_3_2_2_37_1","volume-title":"Graph Convolutional Matrix Completion. KDD Deep Learning Day","author":"van den Berg Rianne","year":"2017","unstructured":"Rianne van den Berg, Thomas N. Kipf, and Max Welling. 2017. Graph Convolutional Matrix Completion. KDD Deep Learning Day (2017)."},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.1145\/1502650.1502661"},{"key":"e_1_3_2_2_39_1","volume-title":"Blei","author":"Wang Chong","year":"2011","unstructured":"Chong Wang and David M. Blei. 2011. Collaborative Topic Modeling for Recommending Scientific Articles. In SIGKDD. 448--456."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"crossref","unstructured":"Peng Wang Renqin Cai and Hongning Wang. 2022. Graph-based Extractive Explainer for Recommendations. In WWW.","DOI":"10.1145\/3485447.3512168"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"crossref","unstructured":"Wenjie Wang Fuli Feng Xiangnan He Hanwang Zhang and Tat-Seng Chua. 2021. Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue. In SIGIR. 1288--1297.","DOI":"10.1145\/3404835.3462962"},{"key":"e_1_3_2_2_42_1","volume-title":"Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network. In EMNLP-IJCNLP. 4884--4893","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. 4884--4893."},{"key":"e_1_3_2_2_43_1","volume-title":"A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation. TKDE","author":"Wu Le","year":"2022","unstructured":"Le Wu, Xiangnan He, Xiang Wang, Kun Zhang, and Meng Wang. 2022. A Survey on Accuracy-oriented Neural Recommendation: From Collaborative Filtering to Information-rich Recommendation. TKDE (2022)."},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1145\/3485447.3512031"},{"key":"e_1_3_2_2_45_1","volume-title":"LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching","author":"Zhang Kun","year":"2021","unstructured":"Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, and Meng Wang. 2021a. LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching. IEEE TNNLS (2021)."},{"key":"e_1_3_2_2_46_1","doi-asserted-by":"crossref","unstructured":"Kun Zhang Le Wu Guangyi Lv Meng Wang Enhong Chen and Shulan Ruan. 2021b. Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching.","DOI":"10.1609\/aaai.v35i16.17694"},{"key":"e_1_3_2_2_47_1","doi-asserted-by":"crossref","unstructured":"Yongfeng Zhang Guokun Lai Min Zhang Yi Zhang Yiqun Liu and Shaoping Ma. 2014. Explicit factor models for explainable recommendation based on phrase-level sentiment analysis. In SIGIR.","DOI":"10.1145\/2600428.2609579"},{"key":"e_1_3_2_2_48_1","volume-title":"Yu","author":"Zheng Lei","year":"2017","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."},{"key":"e_1_3_2_2_49_1","doi-asserted-by":"crossref","unstructured":"Peng Zhou Wei Shi Jun Tian Zhenyu Qi Bingchen Li Hongwei Hao and Bo Xu. 2016. Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification. In ACL.","DOI":"10.18653\/v1\/P16-2034"}],"event":{"name":"SIGIR '23: The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval","location":"Taipei Taiwan","acronym":"SIGIR '23","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591776","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3539618.3591776","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T16:37:58Z","timestamp":1750178278000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3539618.3591776"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,18]]},"references-count":49,"alternative-id":["10.1145\/3539618.3591776","10.1145\/3539618"],"URL":"https:\/\/doi.org\/10.1145\/3539618.3591776","relation":{},"subject":[],"published":{"date-parts":[[2023,7,18]]},"assertion":[{"value":"2023-07-18","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}