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[目的 /意义]提出一种基于用户行为情景的UGC质量实时预判的新思路,改进当前单一的基于文本的UGC质量预测方法。[方法/过程]在分析影响用户UGC行为的情景要素的基础上,确定UGC用户行为情景的构成,引入本体来描述和表示用户行为情景,构建用户行为情景本体框架,为UGC质量预判提供情景语义依据。[结果 /结论]该方法能增强UGC质量预判的准确性和实时性。
[Purpose / Significance] This paper presents a new idea of UGC quality real-time prediction based on user behavior scenarios to improve the current single text-based UGC quality prediction method. [Method / Process] Based on the analysis of the scene elements that affect the UGC behavior, this paper determines the composition of UGC user behavior scenarios, introduces the ontology to describe and represent the user behavior scenarios, builds the user behavior context ontology framework, and provides the scenario for UGC quality prediction Semantic basis. [Result / Conclusion] This method can improve the accuracy and real-time of UGC quality prediction.