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Inf. Syst."],"published-print":{"date-parts":[[2024,1,31]]},"abstract":"<jats:p>A valuable small subset strategically selected from massive online reviews is beneficial to improve consumers\u2019 decision-making efficiency in e-commerce. Existing review selection methods primarily concentrate on the informativeness of reviews and aim to find a subset of reviews that can reflect the informational properties of the original review set. However, changes in consumers\u2019 review diets during the two-phase decision process are not fully considered. In this study, we propose a novel review selection problem of finding a diet-matched review subset with high diversity and representativeness, which can better adapt to consumers\u2019 review-diet conversion from attribute-oriented to experience-oriented reviews between two decision phases. A novel decision-phase-based review selection method named DPRS is further proposed, which involves two steps: review classification and review selection. In the review classification step, the probability of a review being attribute-oriented or experience-oriented is estimated by prior knowledge-aware attentive neural network. In the second step, a novel heuristic algorithm, namely, stepwise non-dominated selection with superiority strategy, is introduced to seek the solution to the review selection problem. Extensive experiments on a real-world dataset demonstrate that DPRS outperforms state-of-the-art methods in terms of both review classification and review selection.<\/jats:p>","DOI":"10.1145\/3587265","type":"journal-article","created":{"date-parts":[[2023,3,30]],"date-time":"2023-03-30T12:29:16Z","timestamp":1680179356000},"page":"1-27","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["A Review Selection Method Based on Consumer Decision Phases in E-commerce"],"prefix":"10.1145","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4871-6318","authenticated-orcid":false,"given":"Jin","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Business, Renmin University of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6677-5683","authenticated-orcid":false,"given":"Xinrui","family":"Li","sequence":"additional","affiliation":[{"name":"School of Business, Renmin University of China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-5201-9700","authenticated-orcid":false,"given":"Liye","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Communication University of China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2023,8,21]]},"reference":[{"issue":"1","key":"e_1_3_1_2_2","doi-asserted-by":"crossref","first-page":"185","DOI":"10.2307\/20721420","article-title":"What makes a helpful online review? 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