网络用户行为分析

Wei Liu, D. Huang, Leyuan Zhang
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引用次数: 3

摘要

为了更好地实现用户个性化,本文探索了多源异构网络用户行为数据的收集与处理方法,并运用情境感知理论对基于情境的网络用户行为进行分析。在此基础上,提出了一种利用互联网上下文来保证用户兴趣辅助模型的高效算法。在此基础上,设计了基于上下文感知的网络用户行为分析结构模型。这为发现网络用户兴趣的特征及其变化规律提供了有效的技术途径。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of network user behavior
For better user personalization, this paper explores the collecting and processing method of network users' behavior data with multi-source heterogeneity and analyzes network user behavior on the basis of context by the theory called Situation Awareness. Then, a new efficient algorithm is presented by using internet context to ensure the model of user interest auxiliary. Further, a structure model of analysing network user behavior based on context-aware is designed. All above has provided an effective technical way for discovering the characteristic and changing law of the network user interest.
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