HG-PerCon: Cross-view contrastive learning for personality prediction

Published: 01 Jan 2024, Last Modified: 04 Apr 2025Neural Networks 2024EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Proposes a mechanism for extracting long-lasting user historical semantic information.•Introduces a psychological knowledge graph that enhances user personality representation.•Contrastive learning is used to learn the consistency of user personality-related representations across views, thus achieving a good representation for personality prediction task.
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