{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T22:35:16Z","timestamp":1765233316890,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":32,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T00:00:00Z","timestamp":1650844800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"US National Science Foundation","award":["IIS-1910154"],"award-info":[{"award-number":["IIS-1910154"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,4,25]]},"DOI":"10.1145\/3485447.3512269","type":"proceedings-article","created":{"date-parts":[[2022,4,25]],"date-time":"2022-04-25T05:13:07Z","timestamp":1650863587000},"page":"3740-3744","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["ExpScore: Learning Metrics for Recommendation Explanation"],"prefix":"10.1145","author":[{"given":"Bingbing","family":"Wen","sequence":"first","affiliation":[{"name":"University of Washington, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yunhe","family":"Feng","sequence":"additional","affiliation":[{"name":"University of Washington, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yongfeng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Rutgers University, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chirag","family":"Shah","sequence":"additional","affiliation":[{"name":"University of Washington, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,4,25]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference(2011)","author":"Amigo Enrique","year":"2011","unstructured":"Enrique Amigo, Julio Gonzalo, Jesus Gim\u00e9nez, and Felisa Verdejo. 2011. Corroborating text evaluation results with heterogeneous measures. EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference(2011), 455\u2013466."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3209581"},{"key":"e_1_3_2_1_3_1","volume-title":"Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and\/or summarization. 65\u201372","author":"Banerjee Satanjeev","year":"2005","unstructured":"Satanjeev Banerjee and Alon Lavie. 2005. METEOR: An automatic metric for MT evaluation with improved correlation with human judgments. In Proceedings of the acl workshop on intrinsic and extrinsic evaluation measures for machine translation and\/or summarization. 65\u201372."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","unstructured":"Oren Barkan Yonatan Fuchs Noam Koenigstein and Avi Caciularu. 2020. Explainable Recommendations via Attentive Multi-Persona Collaborative Filtering. (2020). https:\/\/doi.org\/10.1145\/3383313.3412226 arxiv:2010.07042v1","DOI":"10.1145\/3383313.3412226"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3178876.3186070"},{"key":"e_1_3_2_1_6_1","volume-title":"SIGIR 2019 Workshop on ExplainAble Recommendation and Search","author":"Chen Hanxiong","year":"2019","unstructured":"Hanxiong Chen, Xu Chen, Shaoyun Shi, and Yongfeng Zhang. 2019. Generate natural language explanations for recommendation. SIGIR 2019 Workshop on ExplainAble Recommendation and Search (2019)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/2911451.2911549"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.330153"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3180308.3180366"},{"key":"e_1_3_2_1_10_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. ArXiv abs\/1810.04805(2019).","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. ArXiv abs\/1810.04805(2019)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/E17-1059"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1037\/h0062427"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","unstructured":"Krisztian\u00a0Balog Google and Filip Radlinski. [n.d.]. Measuring Recommendation Explanation Quality: The Conflicting Goals of Explanations. ([n. d.]) 10. https:\/\/doi.org\/10.1145\/3397271.3401032","DOI":"10.1145\/3397271.3401032"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/358916.358995"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.3115\/1626355.1626389"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","unstructured":"Lei Li Yongfeng Zhang and Li Chen. 2020. Generate Neural Template Expla-nations for Recommendation. (2020). https:\/\/doi.org\/10.1145\/3340531.3411992","DOI":"10.1145\/3340531.3411992"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1145\/3340531.3411992"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/3077136.3080822"},{"key":"e_1_3_2_1_19_1","volume-title":"ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out","author":"Lin Chin-Yew","year":"2004","unstructured":"Chin-Yew Lin. 2004. ROUGE: A Package for Automatic Evaluation of Summaries. In Text Summarization Branches Out. Association for Computational Linguistics, Barcelona, Spain, 74\u201381. https:\/\/www.aclweb.org\/anthology\/W04-1013"},{"key":"e_1_3_2_1_20_1","first-page":"627","article-title":"Sentiment analysis and subjectivity. Handbook of Natural Language Processing","volume":"2010","author":"Liu Bing","year":"2010","unstructured":"Bing Liu. 2010. Sentiment analysis and subjectivity. Handbook of Natural Language Processing, Second EditionJanuary 2010 (2010), 627\u2013666.","journal-title":"Second EditionJanuary"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D19-1018"},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.3115\/1073083.1073135"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3018661.3018686"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313463"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412230"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"crossref","unstructured":"Nan Wang Hongning Wang Yiling Jia and Yue Yin. 2018. Explainable Recommendation via Multi-Task Learning in Opinionated Text Data. arXiv preprint arXiv:1806.03568(2018).","DOI":"10.1145\/3209978.3210010"},{"key":"e_1_3_2_1_29_1","volume-title":"2018 IEEE International Conference on Data Mining A Reinforcement Learning Framework for Explainable Recommendation. IEEE International Conference on Data Mining","author":"Wang Xiting","year":"2018","unstructured":"Xiting Wang and Yiru Chen. 2018. 2018 IEEE International Conference on Data Mining A Reinforcement Learning Framework for Explainable Recommendation. IEEE International Conference on Data Mining (2018). https:\/\/www.microsoft.com\/en-us\/research\/publication\/a-reinforcement-learning-framework-for-explainable-recommendation\/"},{"key":"e_1_3_2_1_30_1","unstructured":"Zhongqing Wang and Yue Zhang. 2017. Opinion recommendation using neural memory model. arXiv preprint arXiv:1702.01517(2017)."},{"key":"e_1_3_2_1_31_1","volume-title":"Bertscore: Evaluating text generation with bert. arXiv","author":"Zhang Tianyi","year":"2019","unstructured":"Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian\u00a0Q. Weinberger, and Yoav Artzi. 2019. Bertscore: Evaluating text generation with bert. arXiv (2019), 1\u201343. arxiv:1904.09675"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1561\/9781680836592"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/2600428.2609579"}],"event":{"name":"WWW '22: The ACM Web Conference 2022","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web"],"location":"Virtual Event, Lyon France","acronym":"WWW '22"},"container-title":["Proceedings of the ACM Web Conference 2022"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3485447.3512269","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3485447.3512269","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3485447.3512269","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:14Z","timestamp":1750188614000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3485447.3512269"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,4,25]]},"references-count":32,"alternative-id":["10.1145\/3485447.3512269","10.1145\/3485447"],"URL":"https:\/\/doi.org\/10.1145\/3485447.3512269","relation":{},"subject":[],"published":{"date-parts":[[2022,4,25]]},"assertion":[{"value":"2022-04-25","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}