Dynamic Knowledge Recommendation Service Model of Online Academic Community Based on Ternary Interactive Determinism

Abstract

[Purpose/Significance] This paper constructs a dynamic knowledge recommendation service model oriented to online academic communities based on ternary interactive determinism to provide a theoretical basis for online community multi-dimensional demand analysis and demand evolution trend description, to improve the knowledge community recommendation services. [Method/Process] Firstly, based on the ternary interactive determinism, we clarify the internal and external factors that affect the user's knowledge needs and analyze the relationship between the factors. Secondly, according to the needs analysis objective of the ternary interactive determinism, we clarify the corresponding analysis methods and extract the characteristics of users' knowledge needs in various dimensions. Finally, we integrate the demand characteristics of various dimensions and build a knowledge demand chain to describe the evolution of user demand under the interaction of the three elements. We use the similarity of the demand chain to calculate and predict the future knowledge demand of users to expand the analysis of users' knowledge demand. [Results/Conclusions] The knowledge recommendation service system based on the ternary interactive determinism fully considers the various influencing factors of user needs from a global perspective, improves the fine-grained characterization of user needs in the community, and provides reference for academic communities to improve their knowledge service levels.

Keywords

• online academic community|ternary interactive determinism|dynamic knowledge recommendation service|knowledge service