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Literature Review

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Knowledge Recommendation Systems with Machine Intelligence Algorithms

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1101))

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Abstract

This chapter is a review of literature on knowledge recommendation. It emphasises reviewer and expert recommendation, innovation support, and selected information extraction algorithms that are used to create individual profiles. The literature review is based on previous works of the author [62,63,64,65,66, 74, 107]. The information included in those works has been reinterpreted and supplemented with data found in the most recent publications.

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Notes

  1. 1.

    https://www.scopus.com.

  2. 2.

    https://ieeexplore.ieee.org.

  3. 3.

    https://www.webofscience.com.

  4. 4.

    https://arxiv.org.

  5. 5.

    https://www.acm.org.

  6. 6.

    https://www.ninesigma.com.

  7. 7.

    https://www.innocentive.com.

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  1. National Information Processing Institute, Warsaw, Poland

    Jarosław Protasiewicz

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Protasiewicz, J. (2023). Literature Review. In: Knowledge Recommendation Systems with Machine Intelligence Algorithms. Studies in Computational Intelligence, vol 1101. Springer, Cham. https://doi.org/10.1007/978-3-031-32696-7_2

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