Uscotc: improved collaborative filtering (cfl) recommendation methodology using user confidence, time context with impact factors for performance enhancement

HIGHLIGHTS

• who: Mahesh T. R. and collaborators from the (Deemed-to-be, Bangalore, India, School of Information Technology and Engineering, VIT have published the research work: UsCoTc: Improved Collaborative Filtering (CFL) recommendation methodology using user confidence, time context with impact factors for performance enhancement, in the Journal: PLOS ONE of 13/09/2022
• what: This research proposes a new similarity measure approach that takes both user confidence and time context into account to increase user similarity computation. The aim of this paper includes. Where, m represents the total number of users and n represents the total . . .
  

   

  

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