Banca de QUALIFICAÇÃO: TAYNA ARRUDA CAMARA DA SILVA

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : TAYNA ARRUDA CAMARA DA SILVA
DATE: 15/12/2022
TIME: 10:00
LOCAL: meet.google.com/auv-kyak-grk
TITLE:

Proposal for modeling a publisher profile and implementation of a content recommendation system

KEY WORDS:

Recommender Systems, machine learning techniques

PAGES: 30
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
SPECIALTY: Sistemas de Informação
SUMMARY:

This dissertation proposal aims to build a content recommendation system for a Brazilian publisher with a digital subscription club, where it offers its subscribers paid content in weekly editions. To develop the proposal, an analysis will be carried out on recommendation systems and unsupervised learning algorithms, in addition to the study for the domain of users who consume paid content in the digital environment by subscription clubs, considering mainly information on the browsing history of the customer on the company's website to determine their usage profile. In this study, we intend to provide the newspaper with knowledge about its subscriber base and a recommendation system that, if applied in production, can deliver suggested content filtered according to user preferences and generate action plans on how its content will be worked. for public engagement.

COMMITTEE MEMBERS:
Presidente - 1153006 - LUIZ AFFONSO HENDERSON GUEDES DE OLIVEIRA
Interno - 2885532 - IVANOVITCH MEDEIROS DANTAS DA SILVA
Externa ao Programa - 2081758 - LUCIANA CONCEICAO DE LIMA - UFRN