首页|Reports Outline Computational Intelligence Study Findings from University of Ele ctro-Communications (Can Large Language Models Assess Serendipity in Recommender Systems?)

Reports Outline Computational Intelligence Study Findings from University of Ele ctro-Communications (Can Large Language Models Assess Serendipity in Recommender Systems?)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on co mputational intelligence. According to newsreporting originating from Tokyo, Ja pan, by NewsRx correspondents, research stated, “Serendipity-orientedrecommende r systems aim to counteract the overspecialization of user preferences.”Funders for this research include Japan Society For The Promotion of Science.

University of Electro-CommunicationsTo kyoJapanAsiaComputational IntelligenceMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.5)