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Collaborative Content-Based Method for Estimating User Reputation in Online Forums

机译:基于协作内容的估算在线论坛中的用户声誉的方法

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摘要

Collaborative ratings of forum posts have been successfully applied in order to infer the reputations of forum users. Famous websites such as Slashdot or Stack Exchange allow their users to score messages in order to evaluate their content. These scores can be aggregated for each user in order to compute a reputation value in the forum. However, explicit rating functionalities are rarely used in many online communities such as health forums. At the same time, the textual content of the messages can reveal a lot of information regarding the trust that users have in the posted information. In this work, we propose to use these hidden expressions of trust in order to estimate user reputation in online forums.
机译:已经成功地应用了论坛帖子的协作评级,以推断出论坛用户的声誉。着名网站,如Slashdot或Stack Exchange,允许其用户进行评分消息以便评估其内容。这些分数可以为每个用户汇总,以便在论坛中计算声誉值。然而,明确的评级功能很少用于许多在线社区,如健康论坛。与此同时,消息的文本内容可以揭示关于用户在发布信息中的信任的大量信息。在这项工作中,我们建议使用这些隐藏的信任表达,以估计在线论坛中的用户声名。

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