A new approach of contextual recommendation based on the method of Hierarchical Analysis of Processes

TL;DR

This paper introduces a novel movie recommendation approach that leverages the Hierarchical Process Analysis (AHP) method to incorporate user context, aiming to improve recommendation relevance.

Contribution

It presents a new contextual recommendation method based on AHP, integrating multi-criteria decision making into movie recommendations.

Findings

Developed a new AHP-based recommendation framework.

Enhanced context-aware movie recommendation accuracy.

Conducted bibliographic study on existing context-based systems.

Abstract

Recommender systems are able to estimate the user's interest for resource given from some relative information to others similar users and to propriety of the resource. In this Memory, we introduced a new contextual recommendation approach based on the AHP Process Hierarchical Analysis method. This work consisted in making a bibliographic study on the works having proposed systems of recommendation based on the context of the users in the field of films. The goal is to design and develop a new approach to recommending movies based on user context. And we relied on methods of multi-criteria decision making (MCDM) and more precisely the method of Hierarchical Process Analysis (AHP) for context integration in the recommendation process.