Title: An accurate recommendation method of English online teaching video resources based on firefly

Authors: Fengxiang Zhang; Feifei Wang

Addresses: College of Foreign Languages, Hebei University of Economics and Business, Shijiazhuang 050061, China ' College of Foreign Languages, Hebei University of Economics and Business, Shijiazhuang 050061, China

Abstract: In order to solve the problem of poor recommendation effect of online English teaching resources, an accurate recommendation method of online English teaching video resources based on firefly was proposed. Firstly, the learning demand parameters of the recommendation method were optimised, the learning demand network model was constructed, the weight value of the demand was allocated by the attention mechanism, and the learning demand information was obtained by combining the dice activation function. Secondly, firefly algorithm is applied to set firefly brightness in combination with learning needs, and the target corresponding to top-N demand that attracts the nearest distance is taken as the recommended object. Finally, based on the fit algorithm, the resources of the main internal recommendation are screened to achieve accurate recommendation. The test results show that the probability of effective viewing of the video resources of the design method reaches 82.0%, the probability of repeated use is more than 75.92%, which increases by 10% and the score increases by more than ten points. Therefore, the method can effectively improve the recommendation effect of teaching video resources and academic performance.

Keywords: firefly; instructional video resources; learning needs network model; pooling function; attention mechanism; dice activation function; attraction distance.

DOI: 10.1504/IJCEELL.2024.139939

International Journal of Continuing Engineering Education and Life-Long Learning, 2024 Vol.34 No.4, pp.327 - 338

Received: 11 May 2022
Accepted: 30 Aug 2022
Published online: 12 Jul 2024 *

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