A collaborative system for personalized recommendation in an online supermarket

Entity: Universitat Rovira i Virgili (URV)

Confidenciality: No

Education area(s): Enginyeria de la Seguretat Informàtica i Intel·ligència Artificial

APS: No

Title in different languages: Un sistema col·laboratiu per fer recomanacions personalitzades en un supermercat online

Abstract: The Web has become the significant route of trade. As the number of options available online increased, the necessity of computer systems to assist users in purchasing decisions has arisen. These systems are known as personalized recommender systems. This work focuses on the construction of a personalized recommender system for a Catalan food supply company. Using a collaborative filtering approach, this system integrates the users’ purchase history and relevant contextual data to generate recommendations. The experimental results validate the efficacy of the recommender system in identifying potential items of interest for users.

Subject: Enginyeria informàtica

Academic year: 2022-2023

Language: en

Work's public defense date: 2023-06-15

Subject areas: Computer engineering

Student: Gursoy, Semiha

Department: Enginyeria Informàtica i Matemàtiques

Creation date in repository: 2024-04-09

Keywords: Artificial Intelligence, Collaborative filtering, Recommender systems

Title in original language: A collaborative system for personalized recommendation in an online supermarket

Access Rights: info:eu-repo/semantics/openAccess

Project director: Valls Mateu, Aïda