基于有序对行为的用户兴趣模型研究

Shaohua Wang, Shengtian Liu, Zhongqiang Liu
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引用次数: 2

摘要

为了提高现有模型的稳定性,我们设计了一个基于有序对行为的用户兴趣模型。本文的创新之处在于提出了用户兴趣模型可以通过用户有序对行为关联来组织的观点。其主要思路是将用户行为的价值累积起来,然后根据关联比例减去一些不相关行为的行为价值。实验结果表明,该模型中兴趣值的稳定性优于不与行为关联的模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research of user interest model based on ordered pair behavior
We design a user interest model based on ordered pair behavior in order to improve the stabilization of the existing models. An innovation in this paper is the view that user interest model can be organized by user ordered pair behavior relevance. The main idea is to accumulate the value of user behavior, and then subtract the behavior value of some unrelated behavior according to the proportion of correlation. The experiment result shows that the stability of interest value in this model is better than the model not associated with behaviors.
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