Banca de DEFESA: THIAGO ADRIANO DA SILVA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
STUDENT : THIAGO ADRIANO DA SILVA
DATE: 15/07/2022
TIME: 09:30
LOCAL: https://us02web.zoom.us/j/87601545806?pwd=d1poc1RpTjlCNVBPaDB2SzVUQ1phZz09
TITLE:

iRec: An Interactive Recommendation Framework

KEY WORDS:

Recommendation Systems, Reinforcement Learning, Multi-Armed Bandit

PAGES: 80
BIG AREA: Ciências Exatas e da Terra
AREA: Ciência da Computação
SUBÁREA: Metodologia e Técnicas da Computação
SPECIALTY: Banco de Dados
SUMMARY:

Nowadays, most e-commerce and entertainment services have adopted interactive Recommender Systems (RS) to guide the entire journey of users into the system. This task has been addressed as a Multi-Armed Bandit problem where systems must continuously learn and recommend at each iteration. However, despite the recent advances, there is still a lack of consensus on the  best practices to evaluate such bandit solutions. Several variables might affect the evaluation process, but most of the works have  only been concerned about the accuracy of each method. Thus, this work proposes an interactive RS framework named iRec. It covers the whole experimentation process by following the main RS guidelines. The iRec provides three modules to prepare the dataset, create new recommendation agents, and simulate the interactive scenario. Moreover, it also contains several state-of-the-art algorithms, a hyperparameter tuning module, distinct evaluation metrics, different ways of visualizing the results, and statistical validation.

BANKING MEMBERS:
Presidente - 1674068 - LEONARDO CHAVES DUTRA DA ROCHA
Interno - 2325597 - DIEGO ROBERTO COLOMBO DIAS
Externo à Instituição - LEANDRO BALBY MARINHO - UFCG
Externo à Instituição - ADRIANO CÉSAR MACHADO PEREIRA - UFMG