312 / 2017-02-16 00:43:41
A Review on Scale up the performance of Collaborative Filtering Algorithm
Draft Accepted
Barkha Wadhvani / Government Engineering College,Modasa
Sameer Chauhan / Government Engineering College,Modasa
Now a days everything goes digital from retail stores to Government offices. Also Digital India scheme is declared for digital empowerment where every information is digitally available. In this era of Information or Internet explosion data and choices are increases tremendously. More and more choices demands good recommendations so recommendation system came into the picture. It is very useful substitute for user to discover items or information that they might not have found by themselves easily. Collaborative filtering is the process of filtering for the information or for the patterns using techniques involving collaboration among viewpoints, multiple users or data sources etc. In Literature it is proven the most efficient technique to provide recommendations. This paper describes the techniques to scale up the performance of collaborative filtering algorithm to provide recommendation.
Important Date
  • Conference Date

    Mar 22

    2017

    to

    Mar 24

    2017

  • Feb 15 2017

    Draft paper submission deadline

  • Feb 20 2017

    Draft Paper Acceptance Notification

  • Feb 22 2017

    Final Paper Deadline

  • Mar 24 2017

    Registration deadline