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January 1, 2026International Journal of Computer Applications in TechnologyOpen Access

An automatic recommendation method for online teaching resources based on SA-BPNN multimodal fusion

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Key Points

The aim is to create an automatic recommendation system for online teaching resources using multimodal data.
Developed a recommendation algorithm combining various data sources.
Implemented a backpropagation neural network (BPNN) for data fusion.
Tested the system on a dataset of online learning resources.
The recommendation method improves the relevance of suggested resources.
Users show higher satisfaction with the tailored recommendations.

Implication

This research develops an automatic method to enhance online teaching resource recommendations, suggesting improved accessibility for learners.

Abstract

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Cite This Study

Jinmei Lv (2026) studied this question.

synapsesocial.com/papers/69c37adcb34aaaeb1a67cd28 https://doi.org/10.1504/ijcat.2026.10077220

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