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A Literature Review of Quality Evaluation of Large-Scale Recommendation Systems Techniques

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019 (AISI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1058))

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Abstract

The sudden increase of online or internet based cooperates have led to the migration to RS. These systems shall provide accurate predictions and recommendations of services and products to the users of the same interest. The recommendation and prediction performance should strictly audited and evaluated to maintain the optimum quality of service that is being served and to ensure the continuity of such technologies through various considered factors. However, due to the exponential growth of number of the services available online, new challenges have erupted leading to many defects that affect drastically the quality of accurate prediction and recommendation of these systems such as data sparsity, the problem of scalability and cold start. These challenges have attracted many researchers and data scientists to investigate and further exploration of the main source of these raising issues especially in large scale and distributed systems.

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Notes

  1. 1.

    https://www.sciencedirect.com/science/article/pii/S1110866515000341.

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Authors and Affiliations

  1. Information Systems, Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt

    Hagar ElFiky, Wedad Hussein & Rania El Gohary

Authors
  1. Hagar ElFiky
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  2. Wedad Hussein
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  3. Rania El Gohary
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Correspondence to Hagar ElFiky .

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Editors and Affiliations

  1. Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  3. Ain Shams University, Cairo, Egypt

    Mohamed Fahmy Tolba

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ElFiky, H., Hussein, W., Gohary, R.E. (2020). A Literature Review of Quality Evaluation of Large-Scale Recommendation Systems Techniques. In: Hassanien, A., Shaalan, K., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2019. AISI 2019. Advances in Intelligent Systems and Computing, vol 1058. Springer, Cham. https://doi.org/10.1007/978-3-030-31129-2_60

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