{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,16]],"date-time":"2025-05-16T04:08:06Z","timestamp":1747368486321,"version":"3.40.5"},"reference-count":0,"publisher":"University of Florida George A Smathers Libraries","license":[{"start":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T00:00:00Z","timestamp":1747180800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["FLAIRS"],"abstract":"<jats:p>Traditional recommendation algorithms cannot provide personalized recommendations based on user preferences provided through text, e.g., \u201cI like movies which take me into a dreamland\u201d. Large Language Models(LLMs) have emerged as one of the most promising tools for natural language processing in recent years.This research proposes a framework that leverages the capabilities of LLMs to enhance movie recommendation systems by refining the recommendations of traditional recommendation systems and integrating them with language-based user preference inputs. We employ a Singular Value Decomposition (SVD) algorithm to generate initial movie recommendations. The base SVD algorithm is implemented from the Surprise Python library and trained on the MovieLens 32M dataset.<\/jats:p>","DOI":"10.32473\/flairs.38.1.138999","type":"journal-article","created":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T15:20:52Z","timestamp":1747322452000},"source":"Crossref","is-referenced-by-count":0,"title":["Can Language Models Improve the Performance of SVD-based Recommender Systems?"],"prefix":"10.32473","volume":"38","author":[{"given":"Aaron","family":"Goldstein","sequence":"first","affiliation":[]},{"given":"Ayan","family":"Dutta","sequence":"additional","affiliation":[]}],"member":"17357","published-online":{"date-parts":[[2025,5,14]]},"container-title":["The International FLAIRS Conference Proceedings"],"original-title":[],"link":[{"URL":"https:\/\/journals.flvc.org\/FLAIRS\/article\/download\/138999\/144066","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.flvc.org\/FLAIRS\/article\/download\/138999\/144066","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,5,15]],"date-time":"2025-05-15T15:20:52Z","timestamp":1747322452000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.flvc.org\/FLAIRS\/article\/view\/138999"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,14]]},"references-count":0,"URL":"https:\/\/doi.org\/10.32473\/flairs.38.1.138999","relation":{},"ISSN":["2334-0762","2334-0754"],"issn-type":[{"value":"2334-0762","type":"electronic"},{"value":"2334-0754","type":"print"}],"subject":[],"published":{"date-parts":[[2025,5,14]]}}}