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A study of the dynamic features of recommender systems

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Abstract

The extensive usage of internet is fundamentally changing the way we live and communicate. Consequently, the requirements of users while browsing internet are changing drastically. Recommender Systems (RSs) provide a technology that helps users in finding relevant contents on internet. Revolutionary innovations in the field of internet and their consequent effects on users have activated the research in the area of recommender systems. This paper presents issues related to the changing needs of user requirements as well as changes in the systems’ contents. The RSs involving said issues are termed as Dynamic Recommender Systems (DRSs). The paper first defines the concept of DRS and explores the various parameters that contribute in developing a DRS. The paper also discusses the scope of contributions in this field and concludes citing in possible extensions that can improve the dynamic qualities of recommendation systems in future.

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Authors and Affiliations

  1. Department of Computer Science Engineering, University Institute of Engineering and Technology, MD University, Rohtak, 124001, Haryana, India

    Chhavi Rana

  2. Department of Computer Engineering, National Institute of Technology, Kurukshetra, 136119, Haryana, India

    Sanjay Kumar Jain

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  1. Chhavi Rana
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  2. Sanjay Kumar Jain
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Correspondence to Chhavi Rana.

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Rana, C., Jain, S.K. A study of the dynamic features of recommender systems. Artif Intell Rev 43, 141–153 (2015). https://doi.org/10.1007/s10462-012-9359-6

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