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J-GLOBAL ID：202202265861197698   Reference number：22A2096333

Rating-Based Recommender System Based on Textual Reviews Using IoT Smart Devices

IoTスマートデバイスを用いたテキストレビューに基づく評価ベースレコメンダーシステム【JST・京大機械翻訳】

Author (7)： Ahmed Muqeem (Department of CS & IT, MANUU (Central) University, Hyderabad, India) ,  Ansari Mohd Dilshad (Department of Computer Science & Engineering, CMR College of Engineering & Technology, Hyderabad, India) ,  Singh Ninni (Department of Computer Science & Engineering, CMR Institute of Technology, Hyderabad, India) ,  Gunjan Vinit Kumar (Department of Computer Science & Engineering, CMR Institute of Technology, Hyderabad, India) ,  Gunjan Vinit Kumar (Department of Computer Science and Engineering, University of Science and Technology Chattogram, Chattogram, Bangladesh) ,  B. V. Santhosh Krishna (Department of Electronics and Communication Engineering, New Horizon College of Engineering, Bengaluru, Karnataka, India) ,  Khan Mudassir (Department of Computer Science, College of Science & Arts, King Khalid University, Tanumah, Abha, Saudi Arabia)
Material： Mobile Information Systems (Web)
Volume： 2022  Page： Null  Publication year： 2022 
JST Material Number： U7044A  ISSN： 1574-017X  Document type： Article
Article type： 原著論文  Country of issue： United Kingdom (GBR)  Language： ENGLISH (EN)

Abstract/Point： Recommender system (RS) is a u...

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Thesaurus term： algorithm ,  experiment ,  clustering ,  information collection ,  artificial intelligence ,  hotel ,  application program ,  *user ,  context ,  news ,  Java(programming language)
Semi thesaurus term： 利害関係者 ,  協調フィルタリング ,  推奨システム ,  ステークホルダ ,  *モノのインターネット , 【Automatic Indexing@JST】

JST classification (2)： Other information processing  (JE15050M) ,  Artificial intelligence  (JE08000Z)

Reference (85)：

• S. Alag, Collective Intelligence in Action, Manning New York, 2009.
• P. Victor, M. De Cock, C. Cornelis, "Trust and recommendations," Recommender Systems Handbook, pp. 645-675, Springer, 2011.
• H. Ma, I. King, M. R. Lyu, "Learning to recommend with social trust ensemble," Proceedings of the 32nd International ACM SIGIR Conference onResearch and Development in Information Retrieval, pp. 203-210, ACM, 2009.
• J. Lin, K. Sugiyama, M.-Y. Kan, T.-S. Chua, “Addressing Cold-Start in Apprecommendation: Latent User Models Constructed from Twitter Followers,” inProceedings of the 36th International ACM SIGIR Conference on Research Anddevelopment in Information Retrieval, pp. 283-292, ACM, 2013.
• G. Tuzhilin, A. Tuzhilin, "Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions," IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 6, pp. 734-749, 2005.

Terms in the title (4)： IoT ,  スマートデバイス ,  レビュー ,  評価