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Statistics report
Jan. 2022
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 93
Paper Published : 4666
No. of Authors : 9634
  Journal Paper


Paper Title :
Recommendation Services of Academic Contents Based on Users’ Frequency of Use

Author :Jung-Hoon Park, Seok-Hyeong Lee, Jeong-Seon Yoon, Kwang-Young Kim

Article Citation :Jung-Hoon Park ,Seok-Hyeong Lee ,Jeong-Seon Yoon ,Kwang-Young Kim , (2018 ) " Recommendation Services of Academic Contents Based on Users’ Frequency of Use " , International Journal of Management and Applied Science (IJMAS) , pp. 11-15, Volume-4,Issue-1

Abstract : Various kinds of information are nowadays indiscriminately available; hence, it is important to reveal users’ requirements and to provide them with the appropriate data in order to efficiently operate systems that provide services based on previous reactions and activities of users. Therefore, this study proposes a method that provides personalized recommendation services and customized information to users by using not only basic information but also frequency of use in log data. Index Terms - Personalization, Recommendation, Frequency Of Use, Collaborative Filtering, Association Rules, Academic Content

Type : Research paper

Published : Volume-4,Issue-1


DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-10742   View Here

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