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TITLE:
A collaborative system for personalized recommendation in an online supermarket - TFM:1633
Handle: https://hdl.handle.net/20.500.11797/TFM1633

Student:Gursoy, Semiha
Language:en
Title in original language:A collaborative system for personalized recommendation in an online supermarket
Keywords:Artificial Intelligence, Collaborative filtering, Recommender systems
Subject:Enginyeria informàtica
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.
Project director:Valls Mateu, Aïda
Department:Enginyeria Informàtica i Matemàtiques
Education area(s):Enginyeria de la Seguretat Informàtica i Intel·ligència Artificial
Entity:Universitat Rovira i Virgili (URV)
Work's public defense date:2023-06-15
Academic year:2022-2023
Confidenciality:No
Subject areas:Computer engineering
APS:No
Creation date in repository:2024-04-09
Access Rights:info:eu-repo/semantics/openAccess
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