Construction of Knowledge Recommendation Model in Virtual Knowledge Community from the Perspective of Data Fusion
The article adopts the grounded theory method to analyze the user needs of virtual knowledge communities,and proposes a data fusion method for virtual knowledge communities,build a virtual knowledge community user knowledge needs framework.Based on this,a personalized knowledge recommendation model for virtual knowledge communities is constructed,and optimization paths for virtual knowledge community knowledge recommendation is proposed from three perspectives:user profile,emotional perception,and social network.
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