Abstract
10Sep 2019 IMPLEMENTATION OF ONLINE PRODUCT RECOMMENDATION SYSTEM USING COLLABORATIVE FILTERING. Shivani Patel and Pooja Songadkar. Thakur College of Engineering and Technology, University of Mumbai.
Highlights
A recommender system is an Information Retrieval [1] technology that improves access and dynamically recommends relevant items to users by considering their precisely mentioned preferences and objective behavior
Recommender system is one of the major techniques that deal with the problem of information overload by suggesting users with relevant and appropriate items
This paper identifies the issues faced by the current systems and tries to solve them by using a hybrid system of content based and collaborative filtering technique to achieve better and more accurate performance
Summary
A recommender system is an Information Retrieval [1] technology that improves access and dynamically recommends relevant items to users by considering their precisely mentioned preferences and objective behavior. This paper identifies the issues faced by the current systems and tries to solve them by using a hybrid system of content based and collaborative filtering technique to achieve better and more accurate performance. Recommendation is the type of information filtering which involves prediction of rating and user preferences, which would help a user to buy items according to their needs and interest.
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