Design of a Reading Recommendation Method Based on User Preference for Online Learning

Li, Yanling; Ng, S. C.; Ali, Felermino M. D. A.

doi:10.17950/ijset/v4s11/1104

Cited by 2 publications

(2 citation statements)

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“…The author proposed a fuzzy logic method named FLRS on the reading recommendation system in previous research [7]. In this method, a fuzzy logic with numeric weight was proposed.…”

Section: Introductionmentioning

confidence: 99%

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Timeliness of Materials on Reading Recommendation System

Li¹,

Ng²

2018

International Journal on Advanced Science, Engineering and Information Technology

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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 The experiment result demonstrates that the recommendation ranking order of the latest and the out-of-date reading materials has obviously improved in comparison to the previous FLRS method. It solves the problem that the new reading materials cannot be timely discovered but the out-of-date reading materials always in the front of the recommendation ranking.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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“…The author proposed a fuzzy logic method named FLRS on the reading recommendation system in previous research [7]. In this method, a fuzzy logic with numeric weight was proposed.…”

Section: Introductionmentioning

confidence: 99%

“…This paper is an extended version of work published in [7]. In this study, an improved TFLRS method is proposed in which upload time factor of reading the material as a critical input parameter is considered in the design.…”

Section: Introductionmentioning

confidence: 99%