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首页> 外文期刊>Journal of information and computational science >The Research of Broadcast Television Users Portraits Depicting Technology Based on Long-term Interest Model
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The Research of Broadcast Television Users Portraits Depicting Technology Based on Long-term Interest Model

机译:基于长期兴趣模型的广播电视用户画像刻画技术研究

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摘要

Aiming to meet the demand of intellectual delivery business, this paper puts forward broadcast television users portraits depicting technology based on the long-term interest model. The model analyse users interest drift process according to Ebbinghaus attenuation characteristics of human memory forgetting and human dynamics theory of diminishing marginal utility, determine users' favorite program features by spectral clustering algorithm based on interest label network. What' more, it can predict, users' interest preference during the month and provide the basis for individualized information service.
机译:为了满足知识交付业务的需求,提出了基于长期利益模型的广播电视用户肖像描绘技术。该模型根据人类记忆遗忘的Ebbinghaus衰减特征和边际效用递减的人类动力学理论,分析了用户的兴趣漂移过程,通过基于兴趣标签网络的谱聚类算法确定了用户最喜欢的节目特征。此外,它还可以预测用户在一个月内的兴趣偏好,并为个性化信息服务提供基础。

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