Movie Recommendation Systems Using An Artificial Immune System

TL;DR

This paper explores the use of Artificial Immune System techniques, specifically affinity measures like Kendall tau and Weighted Kappa, to enhance movie recommendation systems based on collaborative filtering.

Contribution

It introduces the application of AIS with two affinity measures to improve movie recommendations, highlighting Weighted Kappa as more effective.

Findings

Weighted Kappa outperforms Kendall tau in accuracy

AIS-based methods improve recommendation relevance

The approach offers a novel integration of AIS with collaborative filtering

Abstract

We apply the Artificial Immune System (AIS) technology to the Collaborative Filtering (CF) technology when we build the movie recommendation system. Two different affinity measure algorithms of AIS, Kendall tau and Weighted Kappa, are used to calculate the correlation coefficients for this movie recommendation system. From the testing we think that Weighted Kappa is more suitable than Kendall tau for movie problems.