{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,11]],"date-time":"2026-05-11T20:25:05Z","timestamp":1778531105083,"version":"3.51.4"},"reference-count":50,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T00:00:00Z","timestamp":1601942400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"NSF grants","award":["CNS 1824440, CNS 1828363, CNS 1757533, CNS 1618398, CNS 1651947, and CNS 1564128"],"award-info":[{"award-number":["CNS 1824440, CNS 1828363, CNS 1757533, CNS 1618398, CNS 1651947, and CNS 1564128"]}]},{"name":"Guangdong Provincial NSF Grant","award":["2017A030308006"],"award-info":[{"award-number":["2017A030308006"]}]},{"DOI":"10.13039\/501100001809","name":"NSFC","doi-asserted-by":"crossref","award":["61632009"],"award-info":[{"award-number":["61632009"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Open project of Zhejiang Lab","award":["2019KE0AB02"],"award-info":[{"award-number":["2019KE0AB02"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Internet Technol."],"published-print":{"date-parts":[[2020,11,30]]},"abstract":"<jats:p>\n            Product reviews play an important role in guiding users\u2019 purchase decision-making in e-commerce platforms. However, it is challenging for users to find helpful reviews that meet their preferences and experiences among an overwhelming amount of reviews. Some works have been done to recommend helpful reviews to users, either from personalized or non-personalized views. While some existing models recommend similar users\u2019 reviews for a target user, they either neglect the target user\u2019s aspect preferences or the user-product interactions for measuring user similarity. Moreover, those models predict review helpfulness at the review-level (a review is taken as a whole); few of them consider the aspect-level. To address the above issues, we propose an aspect sentiment similarity-based personalized review recommendation model (\n            <jats:italic>A2SPR<\/jats:italic>\n            ), which quantifies review helpfulness and recommends reviews that are customized for each individual. We analyze users\u2019 aspect preferences from reviews and improve user similarity with users\u2019 fine-grained sentiment and product relevance. Furthermore, we redefine the review helpfulness score at the aspect level, which indicates the review\u2019s reference value for users\u2019 purchase decisions. Finally, we recommend the top\n            <jats:italic>k<\/jats:italic>\n            helpful reviews for individuals based on the review helpfulness score. To validate the performance of the proposed model, eight baselines are developed and compared. Experimental results show that our model performs better than those baselines in both the coverage and precision.\n          <\/jats:p>","DOI":"10.1145\/3414841","type":"journal-article","created":{"date-parts":[[2020,10,6]],"date-time":"2020-10-06T11:49:08Z","timestamp":1601984948000},"page":"1-26","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":54,"title":["Personalized Review Recommendation based on Users\u2019 Aspect Sentiment"],"prefix":"10.1145","volume":"20","author":[{"given":"Chunli","family":"Huang","sequence":"first","affiliation":[{"name":"Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4985-7454","authenticated-orcid":false,"given":"Wenjun","family":"Jiang","sequence":"additional","affiliation":[{"name":"Hunan University, Changsha, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jie","family":"Wu","sequence":"additional","affiliation":[{"name":"Temple University, Philadelphia, PA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Guojun","family":"Wang","sequence":"additional","affiliation":[{"name":"Guangzhou University, Guangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2020,10,6]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Proceedings of the EMNLP. 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