A Study On Recommender Systems

L Smitha 1,  Hameed Ahmed 2 , S Sameen Fatima 3

1 G Narayanamma Institute of Technology, Hyderabad, India

2 OUCE, Osmania University, Hyderabad, India Email:

3 OUCE, Osmania University, Hyderabad, India



Personalization is the process of customizing a Web site to usersí specific requirements using the knowledge acquired from the analysis of usersí navigational behavior in correlation with other information collected in the Web context as well as other related individual intellectual, mental, emotional and social context elements .Web Personalization is viewed as an application of data mining and machine learning techniques to build models of user behavior that can be applied to the task of predicting user needs and adapting future interactions with the ultimate goal of improved user satisfaction. In this paper different Personalization paradigms are discussed like Collaborative filtering, in which users are invited to rate the objects or reveal their preferences and then return information that is predicted to be of interest to them, but Content-based filtering is based on the individual userís preferences. Hybrid approach integrates some techniques




International eJournal of Mathematics and Engineering

Volume 2, Issue 3, Pages:  1145 - 1154