Recommender systems leveraging multimedia content

Y Deldjoo, M Schedl, P Cremonesi, G Pasi - ACM Computing Surveys …, 2020 - dl.acm.org
Recommender systems have become a popular and effective means to manage the ever-
increasing amount of multimedia content available today and to help users discover …

Recent developments in recommender systems: A survey

Y Li, K Liu, R Satapathy, S Wang… - IEEE Computational …, 2024 - ieeexplore.ieee.org
In this technical survey, the latest advancements in the field of recommender systems are
comprehensively summarized. The objective of this study is to provide an overview of the …

Trends in content-based recommendation: Preface to the special issue on Recommender systems based on rich item descriptions

P Lops, D Jannach, C Musto, T Bogers… - User Modeling and User …, 2019 - Springer
Automated recommendations have become a pervasive feature of our online user
experience, and due to their practical importance, recommender systems also represent an …

Adversarial training towards robust multimedia recommender system

J Tang, X Du, X He, F Yuan, Q Tian… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
With the prevalence of multimedia content on the Web, developing recommender solutions
that can effectively leverage the rich signal in multimedia data is in urgent need. Owing to …

Multimedia recommender systems: Algorithms and challenges

Y Deldjoo, M Schedl, B Hidasi, Y Wei, X He - Recommender systems …, 2021 - Springer
This chapter studies state-of-the-art research related to multimedia recommender systems
(MMRS), focusing on methods that integrate multimedia content as side information to …

Handbook of visual communication

S Josephson, J Kelly, K Smith - Handbook of Visual …, 2020 - api.taylorfrancis.com
Names: Josephson, Sheree, editor.| Kelly, James D., 1957–editor.| Smith, Ken, 1947 August
14–editor. Title: Handbook of visual communication: theory, methods, and media/edited by …

Social movie recommender system based on deep autoencoder network using Twitter data

H Tahmasebi, R Ravanmehr… - Neural Computing and …, 2021 - Springer
Recommender systems attempt to provide effective suggestions to each user based on their
interests and behaviors. These recommendations usually match the personal user …

Movie genome: alleviating new item cold start in movie recommendation

Y Deldjoo, MF Dacrema, MG Constantin… - User Modeling and User …, 2019 - Springer
As of today, most movie recommendation services base their recommendations on
collaborative filtering (CF) and/or content-based filtering (CBF) models that use metadata …

Enhanced content-based fashion recommendation system through deep ensemble classifier with transfer learning

B Suvarna, S Balakrishna - Fashion and Textiles, 2024 - Springer
With the rise of online shopping due to the COVID-19 pandemic, Recommender Systems
have become increasingly important in providing personalized product recommendations …

[图书][B] Social data analytics

A Beheshti, S Ghodratnama, M Elahi, H Farhood - 2022 - taylorfrancis.com
This book is an introduction to social data analytics along with its challenges and
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …