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Recommendation Systems: Techniques, Challenges, Application, and Evaluation

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Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 817))

Abstract

With this tremendous growth of the Internet, mobile devices, and e-business, information load is increasing day by day. That leads to the development of the system, which can filter and prioritize the relevant information for users. Recommendation system solves this issue by enabling users to get knowledge, products, and services of personalized basis. Since the inception of recommender system, researcher has paid much attention and developed various filtering techniques to make these systems effective and efficient in terms of users and system experience. This paper presents a preliminary survey of different recommendation system based on filtering techniques, challenges applications, and evaluation metrics. The motive of work is to introduce researchers and practitioner with the different characteristics and possible filtering techniques of recommendation systems.

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Authors and Affiliations

  1. Computer Science & Engineering, Maulana Azad National Institute of Technology, Bhopal, 462003, Madhya Pradesh, India

    Sandeep K. Raghuwanshi & R. K. Pateriya

Authors
  1. Sandeep K. Raghuwanshi
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  2. R. K. Pateriya
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Corresponding author

Correspondence to Sandeep K. Raghuwanshi .

Editor information

Editors and Affiliations

  1. Department of Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  2. Department of Mathematics, National Institute of Technology Silchar, Silchar, Assam, India

    Kedar Nath Das

  3. Department of Mathematics and Computer Science, Faculty of Science, Liverpool Hope University, Liverpool, UK

    Atulya Nagar

  4. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Kusum Deep

  5. School of Basic Sciences, Indian Institute of Technology Bhubaneswar, Bhubaneswar, Odisha, India

    Akshay Kumar Ojha

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Raghuwanshi, S.K., Pateriya, R.K. (2019). Recommendation Systems: Techniques, Challenges, Application, and Evaluation. In: Bansal, J., Das, K., Nagar, A., Deep, K., Ojha, A. (eds) Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 817. Springer, Singapore. https://doi.org/10.1007/978-981-13-1595-4_12

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