A multi-dimensional time series algorithm for personalised recommendation in an innovation and entrepreneurship resource library

Qianqian Shen; Benneng Jin; Xueyin Hong

doi:10.1504/ijcat.2026.10077095

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

A multi-dimensional time series algorithm for personalised recommendation in an innovation and entrepreneurship resource library

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Key Points

The research aims to develop a multi-dimensional algorithm to provide personalized resource recommendations.
Developed a time series algorithm
Assessed its relevance in resource library context
Tested algorithm effectiveness on user data
Improved accuracy in personalized recommendations
Enhanced user engagement with resource library
Demonstrated better resource matching for users

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Implication

An algorithm demonstrates personalized recommendations for resources in an innovation and entrepreneurship library, suggesting enhanced user engagement.

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Cite This Study

Shen et al. (2026) studied this question.

synapsesocial.com/papers/69bb9257496e729e6297f923 https://doi.org/10.1504/ijcat.2026.10077095

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A multi-dimensional time series algorithm for personalised recommendation in an innovation and entrepreneurship resource library

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

A multi-dimensional time series algorithm for personalised recommendation in an innovation and entrepreneurship resource library

Key Points

Ask about this paper

Implication

Abstract

Discussion

Cite This Study

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