Add to ORKGIn this technical survey, we comprehensively summarize the latest advancements in the field of recommender systems. The objective of this study is to provide an overview of the current state-of-the-art in the field and highlight the latest trends in the development of recommender systems. The study starts with a comprehensive summary of the main taxonomy of recommender systems, including personalized and group recommender systems, and then delves into the category of knowledge-based recommender systems. In addition, the survey analyzes the robustness, data bias, and fairness issues in recommender systems, summarizing the evaluation metrics used to assess the performance of these systems. Finally, the study provides insights into the latest ...
Abstract: Recommender Systems are software tools and techniques for suggesting items to users by con...
Personalized recommender systems aim to assist users in retrieving and accessing interesting items b...
The development of recommender system research has expanded to various applications. Recommender sys...
The paper presents a survey of the field of recommender systems and describes current recommendation...
Recommender systems have been used in many fields of research and business applications. In this pap...
AbstractIn this era of web, we have a huge amount of information overload over internet. To extract ...
Promoting recommender systems in real-world applications requires deep investigations with emphasis ...
A recommender system is a Web technology that proactively suggests items of interest to users based ...
Recommender systems are tools for interacting with large and complex information spaces. They provid...
Recommender systems have become an important research field since the emergence of the first paper o...
Due to their powerful personalization and efficiency features, recommendation systems are being used...
In the past few decades, recommender systems are highly utilized for information filtering, predicti...
Background. In this article, we look at the key advances in collaborative filtering recommender syst...
Recommender systems or recommendation systems are a subset of information filtering system that used...
As a major research interest, the Recommender Systems (RS) has evolved to help consumers locate prod...
Abstract: Recommender Systems are software tools and techniques for suggesting items to users by con...
Personalized recommender systems aim to assist users in retrieving and accessing interesting items b...
The development of recommender system research has expanded to various applications. Recommender sys...
The paper presents a survey of the field of recommender systems and describes current recommendation...
Recommender systems have been used in many fields of research and business applications. In this pap...
AbstractIn this era of web, we have a huge amount of information overload over internet. To extract ...
Promoting recommender systems in real-world applications requires deep investigations with emphasis ...
A recommender system is a Web technology that proactively suggests items of interest to users based ...
Recommender systems are tools for interacting with large and complex information spaces. They provid...
Recommender systems have become an important research field since the emergence of the first paper o...
Due to their powerful personalization and efficiency features, recommendation systems are being used...
In the past few decades, recommender systems are highly utilized for information filtering, predicti...
Background. In this article, we look at the key advances in collaborative filtering recommender syst...
Recommender systems or recommendation systems are a subset of information filtering system that used...
As a major research interest, the Recommender Systems (RS) has evolved to help consumers locate prod...
Abstract: Recommender Systems are software tools and techniques for suggesting items to users by con...
Personalized recommender systems aim to assist users in retrieving and accessing interesting items b...
The development of recommender system research has expanded to various applications. Recommender sys...