Collaborative filtering

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Definition

A Collaborative Filtering(CF) refers to the use of software algorithms for narrowing down a large set of choices by using collaboration among multiple agents, viewpoints, and data sources.

Overview

The term Collaborative Filtering was first coined by the makers of one of the first recommendation systems, Tapestry. The basic assumption in CF is that user A and user B's personal tastes are co-related if both users rate n items similarly.

Approach to Collaborative Filtering

Collaborative Filtering Techniques

Memory-based(Heuristic) Recommendation Technique

Model-based Recommendation Technique

=Hybrid Recommendation Technique

Limitations of Collaborative Filtering

References