COMMENTS

  1. Recommendation systems: Principles, methods and evaluation

    On the Internet, where the number of choices is overwhelming, there is need to filter, prioritize and efficiently deliver relevant information in order to alleviate the problem of information overload, which has creat…

  2. Recommendation Systems: Algorithms, Challenges, …

    This paper provides the current landscape of recommender systems research and identifies directions in the field in various applications. This article provides an overview of the current state of the art in …

  3. Multidimensional Insights into Recommender Systems: A

    By offering a contemporary snapshot of recommender systems research, this paper anticipates future directions for this dynamic field. Download conference paper PDF. …

  4. An Overview of Recommendation System: Methods and Techniques

    The recommendation system is a tool, methodology, software or a system which has a capability to provide suggestions based on predicting users’ interests.

  5. Recommender Systems: An Overview, Research Trends, and Future …

    Recommender System (RS) has emerged as a major research interest that aims to help users to find items online by providing suggestions that closely match their interests. This …

  6. Recommendation systems: Principles, methods and …

    This paper explores the different characteristics and potentials of different prediction techniques in recommendation systems in order to serve as a compass for research and practice in the...

  7. Recommender Systems: Techniques, Effects, and Measures

    In this chapter, we briefly introduce recommender systems, their basic mechanisms, and their importance in various applications. We show how their outcomes and …