Recommender systems leveraging multimedia content
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 …
increasing amount of multimedia content available today and to help users discover …
Recent developments in recommender systems: A survey
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 …
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
Automated recommendations have become a pervasive feature of our online user
experience, and due to their practical importance, recommender systems also represent an …
experience, and due to their practical importance, recommender systems also represent an …
Adversarial training towards robust multimedia recommender system
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 …
that can effectively leverage the rich signal in multimedia data is in urgent need. Owing to …
Multimedia recommender systems: Algorithms and challenges
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 …
(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 …
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 …
interests and behaviors. These recommendations usually match the personal user …
Movie genome: alleviating new item cold start in movie recommendation
As of today, most movie recommendation services base their recommendations on
collaborative filtering (CF) and/or content-based filtering (CBF) models that use metadata …
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 …
have become increasingly important in providing personalized product recommendations …
[图书][B] Social data analytics
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 …
opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on …