In the present work, we inquire use of game theoretic techniques for development recommender systems. Initially, interaction two aspects systems, query reformulation and relevance estimation, is modelled as a cooperative where players have common utility, to supply optimal recommendations, which they try maximize. Based on this modelling, three basic recommendation methods are developed, namely...

Current electronic commerce recommendation system is designed for single electronic commerce website and current recommendation technologies have obvious deficiencies Centralized recommendation systems can not resolve the contradiction between high recommendation quality and timely response, as well as that between limited recommendation range and ever rich information on the web. Distributed r...

The selection of code reviewers for a pull request can impact the quality as well speed review. In order to have best experience both developer and reviewers, there is need automatic reviewer recommendation systems requests. Although has been previous research in this area, it was mainly focused on smaller medium repositories up around 200 developers, while larger were rarely targeted. paper we...

Course recommender systems play an increasingly pivotal role in the educational landscape, driving personalization and informed decision-making for students. However, these face significant challenges, including managing a large dynamic decision space addressing cold start problem new This article endeavors to provide comprehensive review background fully understand recent research on course th...

Abstract Users’ reviews contain valuable information which are not taken into account in most recommender systems. According to the latest studies this field, using review texts could only improve performance of recommendation, but it can also alleviate impact data sparsity and help tackle problem. In paper, we present a neural model recommends items by leveraging user reviews. order predict ra...

Developer profiles are representations that capture the characteristics of a software developer, including software development knowledge, organizational information, and communication networks. In recommendation systems in software engineering, developer profiles can be used for personalizing recommendations and for recommending developers who can assist with a task. This chapter describes tec...

Music recommendation systems have centred on two different approaches: content based analysis and collaborative filtering. Little attention has been paid to the reasons why these techniques have been effective. Fortunately, the social sciences have asked these questions. One of the findings of this research is that social context is much more important than previously thought. This paper introd...

A recommendation system tracks past actions of a group of users to make recommendations to individual members of the group. The growth of computer-mediated marketing and commerce has led to increased interest in such systems. We introduce a simple analytical framework for recommendation systems, including a basis for defining the utility of such a system. We perform probabilistic analyses of al...