首页    期刊浏览 2025年02月19日 星期三
登录注册

文章基本信息

  • 标题:Hybrid Recommender System via Personalized Users’ Context
  • 本地全文:下载
  • 作者:Anthony Nosshi ; Aziza Asem ; Mohamed Badr Senousy
  • 期刊名称:Cybernetics and Information Technologies
  • 印刷版ISSN:1311-9702
  • 电子版ISSN:1314-4081
  • 出版年度:2019
  • 卷号:19
  • 期号:1
  • 页码:101-115
  • DOI:10.2478/cait-2019-0006
  • 出版社:Bulgarian Academy of Science
  • 摘要:In movie domain, finding the appropriate movie to watch is a challenging task. This paper proposes a recommender system that suggests movies in cinema that fit the user’s available time, location, mood and emotions. Conducted experiments for evaluation showed that the proposed method outperforms the other baselines.
  • 关键词:Movie recommender; Emotion recommendation; Hybrid recommender; system; sentiment analysis; spatio-temporal recommendation.
国家哲学社会科学文献中心版权所有