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A Context-Aware Recommendation of Technical Forum Threads Based on Probabilistic Databases Theory - A framework designed for online forums concerning programming support -

机译:基于概率数据库理论的技术论坛线程的背景知识意识推荐 - 一个框架,专为关于编程支持的在线论坛 -

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This paper aims to propose a framework that exploits the IT context of a post in a technical-oriented forum concerning programming support in order to make better recommendations for users searching for an answer. One of the contributions that this research aims to bring is an algorithm of estimating the IT context of a post, through Propagation of Computing Context in the forum thread tree. Then, having the forum messages enriched with metadata regarding their IT context (SDK. Server, DBMS, Operating System, IDE), the paper uses the probabilistic databases theory' to make recommendations of relevant threads to a new query.
机译:本文旨在提出一个框架,该框架利用了一个关于编程支持的技术为导向的论坛中帖子的IT背景,以便为寻找答案的用户做出更好的建议。该研究旨在引入的贡献之一是通过在论坛线程树中的计算上下文传播来估计帖子的IT背景的算法。然后,具有关于其IT上下文(SDK。SDK。SDK。服务器,DBMS,操作系统,IDE)的论坛消息,本文使用概率数据库理论“向新查询提出相关线程的建议。

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