A Novel Interest Model with Contextual Information on Mobile Platform

Huijuan Zhang, Xin Xia, Shunwei Hou
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Abstract

Considering the insufficient information used in interest model on mobile platform, we proposed a novel Interest Model (IM) with contextual information. Composite analysis is giving to the contextual information on mobile platform. Continually, an algorithm for contextual information matching based on Case-Based Reasoning (CBR) was raised. Presented hierarchical interest ontology with semantic relationship based on Open Dictionary Project (ODP). Meanwhile, proposed a method to model updating based on Spreading Activation Theory. The experiment showed that the IM could significantly improve the user experience.
基于上下文信息的移动平台兴趣模型
针对移动平台兴趣模型信息不足的问题,提出了一种基于上下文信息的兴趣模型。对移动平台上的上下文信息进行复合分析。接着,提出了一种基于案例推理的上下文信息匹配算法。提出了基于开放字典项目(ODP)的分层语义关系兴趣本体。同时提出了一种基于扩散激活理论的模型更新方法。实验表明,IM可以显著改善用户体验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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