A Hybrid Approach of Collaborative Filtering and Genetic Algorithm for Product Recommendation System

A Hybrid Approach of Collaborative Filtering and Genetic Algorithm for Product Recommendation System

Shalaka Prasad Deore1 ,  Tejashree Jagtap2, Amruta Bendale2, Rutuja Pawar2, Ritika Valesha2

Modern Education Society’s College Of Engineering, Pune

Abstract: Data mining is an critical research space in recent times that focuses on the supply of facts in records. this is in which records from the internet site is mined so that informative facts can be processed and used correctly and correctly through people. Its cause is to expect and interpret. one of the functions of data mining is the association Rule mine. It consists of two procedures: First, locating the frequently used objects on the web site the usage of a little assist and developing a rule of relation to commonplace items with a unique confidence. it is related to the affiliation of items wherein in all A-occasions, there may be a B-occurrence. This mine could be very effective in reading the marketplace basket. That app is useful for clients who purchase positive gadgets. that during the entirety they bought, it can be something / matters that could be mixed with some thing offered. MLP and genetic algorithm are the most widely used association mining association set of rules.

keywords: Genetic set of rules, collaborative filtering, recommendation application