DOI : https://doi.org/10.18517/ijaseit.8.1.4024

Timeliness of Materials on Reading Recommendation System

Yanling Li (1), Sokchoo Ng (2)
(1) SEGi University
(2) SEGi University
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How to cite (IJASEIT) :
Li, Yanling, and Sokchoo Ng. “Timeliness of Materials on Reading Recommendation System”. International Journal on Advanced Science, Engineering and Information Technology, vol. 8, no. 1, Feb. 2018, pp. 178-84, doi:10.18517/ijaseit.8.1.4024.
Citation Format :
An improved fuzzy logic recommendation method named TFLRS is presented in this paper. The timeliness of reading materials is focused. The upload time of reading materials is attached as an important input parameter, and the numeric weights of input factors are further revised. The experiment result demonstrates that the recommendation ranking order of the latest and the out-of-date reading materials has obviously improved in comparison to the previous FLRS method. It solves the problem that the new reading materials cannot be timely discovered but the out-of-date reading materials always in the front of the recommendation ranking. The timeliness of reading materials effectively guarantees the user preferred newer materials are always at the higher level than the older materials in the recommendation ranking result and the accuracy of reading recommendation system has significantly improved.

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