Department of Informatics and Telecommunications
Πληροφορική

2021-09-24

2021

STOIKOY KONSTANTINA

Παναγιώτης Σταματόπουλος, επίκουρος καθηγητής, Τμήμα Πληροφορικής και Τηλεπικοινωνιών, ΕΚΠΑ

Deep Learning Techniques on Recommender Systems

English

Deep Learning Techniques on Recommender Systems

A recommender system is a tool that filters information and suggests content to users which is relevant to their interests. Recommender systems have seen a rise in their use in the recent years as a result of the increasing internet use which provides researchers with huge amounts of user data. The purpose of this thesis is to study the various techniques that are applied to recommender systems as well as the deep learning models that are used to enhance those systems. Moreover, the evaluation methods of the recommender systems are described along with the challenges they face. Followingly, an implementa­ tion of a recommender system for video games which employs deep learning algorithms is provided followed by the interpretation of the results. At the end, some concerns and suggestions about the future in the field of recommendations are mentioned.

Technology - Computer science

recommender system, recommendations, deep learning, machine learn­ing, artificial intelligence, challenges, steam, games

Yes

5

Yes

51

49

https://pergamos.lib.uoa.gr/uoa/dl/object/2961302/file.pdf

https://pergamos.lib.uoa.gr/uoa/dl/object/2961302