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Recommender Systems

Surveys recommender systems by reviewing over 1,000 papers from 2011 to early 2020 to map research trends, problems, and future directions.

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Recommender Systems

By C. Lucchese, Cristina Ioana Muntean, Raffaele Perego et al.Wirtschaftsinf.
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This paper is an overview of recommender systems (RS), which have become one of the most used technologies in recent years. It covers the types of recommender systems, the problems they face, and their future scope, with the main purpose of spotting research trends in the field.

To do so, the authors considered more than 1,000 research papers published by ACM, IEEE, Elsevier, and Springer from 2011 through the first quarter of 2020. Several interesting findings emerged that are intended to help current and future RS researchers assess the field and set their research roadmap, and the paper envisions the future of recommender systems, which may open up new research directions in the domain.

Abstract

This paper provides an overview of recommender systems (RS), covering their types, open problems, and future scope. Its main aim is to identify research trends in the field by reviewing more than 1,000 papers published by ACM, IEEE, Elsevier, and Springer from 2011 through the first quarter of 2020. The study surfaces findings intended to help current and future researchers assess the field and set their research roadmap, and it envisions the future of recommender systems and potential new research directions.

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