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  • 标题:RECOMMENDER SYSTEM BASED on LIFESTYLES of USERS
  • 本地全文:下载
  • 作者:Tofik R. Kacchi ; Anil V. Deorankar
  • 期刊名称:International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
  • 印刷版ISSN:2278-1323
  • 出版年度:2016
  • 卷号:5
  • 期号:5
  • 页码:1263-1266
  • 出版社:Shri Pannalal Research Institute of Technolgy
  • 摘要:Recommender systems or recommendation systems are a subclass of information filtering system that search for to predict the 'preference' or 'rating' that a user would give to an person/item/place/thing. Depending on these, recommendation system is classified into two subclasses: first one is depending on item i.e. Object recommendation while the second one is depending on person i.e. person to person link recommendation. In this paper, we have chosen second approach of link recommendation to deploy the system to be used for health application by using the different parameters habits or daily-activities, blood-group, location, etc. We have also presented the mathematical model used in this paper with the help of example for analysis purpose.
  • 关键词:Activity-bag representation; hadoop ; platform; health application; recommender system
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