Assessment on Multiple Aspects of Online Book Recommendation Systems

Author:

Penugonda Anusha,Pantula Muralidhar

Publisher

Springer Nature Singapore

Reference9 articles.

1. Ijaz, F.: Book recommendation system using machine learning. Technical report, EasyChair (2020)

2. Isinkaye, F.O., Folajimi, Y.O., Ojokoh, B.A.: Recommendation systems: principles, methods and evaluation. Egypt. Inf. J. 16(3), 261–273 (2015)

3. Isoni, A.: Machine Learning for the Web. Packt Publishing Ltd. (2016)

4. Kim, H.K., Oh, H.Y., Gu, J.C., Kim, J.K.: Commenders: a recommendation procedure for online book communities. Electron. Commer. Res. Appl. 10(5), 501–509 (2011)

5. Mariana, S., Surjandari, I., Dhini, A., Rosyidah, A., Prameswari, P.: Association rulemining for building book recommendation system in online public access catalog. In: 2017 3rd International Conference on Science in Information Technology (ICSITech), pp. 246–250. IEEE (2017)

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