Abstract:
Recommender systems are particularly useful for
computer users, here decisions must be normally
taken in a short time and the effort required for
interacting with the system must be limited as much
as possible. The Recommendation systems can help
the user to take a decision suggesting those products
which best suit his needs and preferences.
Recommendation systems have been an important
application area and the focus of considerable
recent academic and commercial interest. In the
classical collaborative filtering recommendation
approach, the voting prediction method is based on
the computation of the similarity of the active user,
to whom a recommendation has to be made, with the
other users .Collaborative filtering (CF) describes a
variety of processes that automate the interactions
of human advisors; a collaborative filter
recommends items based upon the opinions of
human advisors. In this paper, we implement the
recommendation system are the use of Voting by
Category method in memory-based collaborative
filtering method.
