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Efficiency Evaluation of Recommender Systems: Study of Existing Problems and Possible Extensions

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Book cover Information and Communication Technology for Sustainable Development

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 9))

Abstract

Recommender systems can help people to choose the desired product from a choice of various products. But there are various issues with the existing recommender systems. Thus, new systems which can efficiently recommend the most appropriate item to users based on their preferences are in demand. As a step towards providing the users with such a system, we present a general overview of the recommender systems in this paper. This paper also proposes potential solutions to the different problems which are found in current recommendation methods. These extensions to the current recommendation systems can improve their capabilities and make them appropriate for a broader area of applications. These potential extensions include integration of contextual information into the recommendation method, an improvement in understanding of items and users, developing less intrusive recommendation approaches, utilization of multi-criteria ratings, and providing more flexible types of recommendations.

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Author information

Authors and Affiliations

  1. Amity University, Noida, Uttar Pradesh, India

    Mugdha Sharma & Laxmi Ahuja

Authors
  1. Mugdha Sharma
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  2. Laxmi Ahuja
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Corresponding author

Correspondence to Mugdha Sharma .

Editor information

Editors and Affiliations

  1. Microsoft Innovation Centre, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  2. Dagenham, United Kingdom

    Malaya Kumar Nayak

  3. Department of Information Technology, Sabar Institute of Technology, Ahmedabad, Gujarat, India

    Amit Joshi

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Sharma, M., Ahuja, L. (2018). Efficiency Evaluation of Recommender Systems: Study of Existing Problems and Possible Extensions. In: Mishra, D., Nayak, M., Joshi, A. (eds) Information and Communication Technology for Sustainable Development. Lecture Notes in Networks and Systems, vol 9. Springer, Singapore. https://doi.org/10.1007/978-981-10-3932-4_17

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  • DOI: https://doi.org/10.1007/978-981-10-3932-4_17

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3931-7

  • Online ISBN: 978-981-10-3932-4

  • eBook Packages: EngineeringEngineering (R0)

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