{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T22:33:37Z","timestamp":1774737217298,"version":"3.50.1"},"reference-count":94,"publisher":"MDPI AG","issue":"6","license":[{"start":{"date-parts":[[2020,6,12]],"date-time":"2020-06-12T00:00:00Z","timestamp":1591920000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>In e-commerce websites and related micro-blogs, users supply online reviews expressing their preferences regarding various items. Such reviews are typically in the textual comments form, and account for a valuable information source about user interests. Recently, several works have used review texts and their related rich information like review words, review topics and review sentiments, for improving the rating-based collaborative filtering recommender systems. These works vary from one another on how they exploit the review texts for deriving user interests. This paper provides a detailed survey of recent works that integrate review texts and also discusses how these review texts are exploited for addressing some main issues of standard collaborative filtering algorithms.<\/jats:p>","DOI":"10.3390\/info11060317","type":"journal-article","created":{"date-parts":[[2020,6,15]],"date-time":"2020-06-15T03:17:32Z","timestamp":1592191052000},"page":"317","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":91,"title":["Recommender Systems Based on Collaborative Filtering Using Review Texts\u2014A Survey"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9685-047X","authenticated-orcid":false,"given":"Mehdi","family":"Srifi","sequence":"first","affiliation":[{"name":"LRIT, Associated Unit to CNRST (URAC 29), Mohammed V University, Rabat 10090, Morocco"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5780-2691","authenticated-orcid":false,"given":"Ahmed","family":"Oussous","sequence":"additional","affiliation":[{"name":"LGS, National School of Applied Sciences (ENSA), Ibn Tofail University, Kenitra 14000, Morocco"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8739-3369","authenticated-orcid":false,"given":"Ayoub","family":"Ait Lahcen","sequence":"additional","affiliation":[{"name":"LRIT, Associated Unit to CNRST (URAC 29), Mohammed V University, Rabat 10090, Morocco"},{"name":"LGS, National School of Applied Sciences (ENSA), Ibn Tofail University, Kenitra 14000, Morocco"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0417-8968","authenticated-orcid":false,"given":"Salma","family":"Mouline","sequence":"additional","affiliation":[{"name":"LRIT, Associated Unit to CNRST (URAC 29), Mohammed V University, Rabat 10090, Morocco"}]}],"member":"1968","published-online":{"date-parts":[[2020,6,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Abdullah, L., Ramli, R., Bakodah, H.O., and Othman, M. 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