基于用户反馈的移动应用可信评估与演化技术研究

With the popularity of smartphones and mobile devices, mobile application markets have been growing exponentially. In these markets, a reasonable prediction model to dynamically evaluate the trustworthiness of mobile applications is helpful for its healthy development. On one hand, developers can take advantage of the prediction model to improve the user satisfaction of their mobile applications; on the other hand, users can use the prediction model to discover mobile applications that can meet their personal interests. However, the prediction model faces several challenges including the sparseness, diversity, and validity of user feedback. To this end, the proposed project intends to start with user trust inference model, application trustworthiness evaluation model, and application trustworthiness tracking model, and finally derive a comprehensive and reasonable model to evaluate and track the trustworthiness of mobile applications.

随着智能手机与移动设备的广泛普及，移动应用市场呈现爆炸式增长，而合理的移动应用可信评估与预测模型能促进移动应用市场的良性发展，开发者可借助可信评估与演化模型帮助其改进移动应用的用户满意度，用户则可借助可信评估与演化模型选择满意的移动应用。然而，基于用户反馈的移动应用可信评估与演化预测面临着用户反馈数据稀疏性、多样性和有效性等问题困扰。为此，本项目拟从用户间信任关系推导模型、移动应用可信评估模型、移动应用可信演化模型等方面进行研究，试图构造一个完整而合理的移动应用可信评估与演化模型。

随着智能手机与移动设备的广泛普及，移动应用市场呈现爆炸式增长，而合理的移动应用可信评估与预测模型能促进移动应用市场的良性发展，开发者可借助可信评估与演化模型帮助其改进移动应用的用户满意度，用户则可借助可信评估与演化模型选择满意的移动应用。然而，基于用户反馈的移动应用可信评估与演化预测面临着用户反馈数据稀疏性、多样性和有效性等问题困扰。为此，本项目在用户反馈文本信息检索技术、基于用户反馈的移动应用可信评估技术、基于用户反馈的移动应用可信演化预测技术和面向开发者的可信提升辅助技术等方面取得了预期成果。

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