19-09-2014, 02:02 PM
Abstracts: ABSTRACT Recommender System using ILP is a Research project based on the First Order Logic. The recommender systems which are available nowdays are based on statistical approach. There are two types of recommender system. 1) Collaborative filtering. 2) Content based filtering. Collaborative filtering approaches build a model from a user’s past behaviour as well as similar decisions made by other user; then use that model to predict items that the user may have an interest in. Content based filtering approaches utilize a series of discrete characteristics of an item in order to recommend additional items with similar properties. This research is based on First Order Logic to recommend users. First Order Logic is a formal System used in mathematics , philosophy, linguistics and computer science. This systems deals with the predicates of user’s such as same –age –groups ,same-profession and their preference, by using programming in prolog (programming language for FOL).This improves the interpretability of the system and this is the new and innovative approach towards the recommender system.