This chapter aims to provide an overview of the class of multi-criteria recommender systems.
First, it defines the recommendation problem as a multicriteria decision making (MCDM) …

Recommender systems have emerged in the e-commerce domain and are developed to
actively recommend the right items to online users. Traditional Collaborative Filtering (CF) …

Recommendation systems are one of the main applications of machine learning (ML) used
across different industries. This paper presents a new automated machine learning …

In this paper we demonstrate how each item in top-N recommendation list has an impact on
total diversity of the list in recommender systems. We proposed a new recommendation …

The Multi Criteria Group Recommender System is gaining attention. In the proposed
framework, the authors intend to find solutions to two problems. First, group members assign …

Personal information agents play an important role in the acquisition, processing, and
distribution of information and are of utmost importance in many areas. However, in order to …

This paper proposes and describes a prototype of an agent-based infrastructure to support
the supply chain management of a virtual enterprise. A virtual enterprise is composed of …

Neighborhood selection scheme is one of the crucial steps of providing recommendation in the
collaborative filtering sy Page 1 Abstract Neighborhood selection scheme is one of the crucial …

Abstract Providing Group Recommendations is an open research area. In the proposed
scheme, the combined entropy based similarities using positive and negative preference …