Automatic Identification of Best Answers in Online Enquiry Communities
作者： Grégoire Burel , Yulan He , Harith Alani
DOI: 10.1007/978-3-642-30284-8_41
关键词:
摘要: Online communities are prime sources of information. The Web is rich with forums and Question Answering (QA 2) to assist users when browsing such answers by filtering in potential best answers. In this paper, we collected data from three online converted it RDF based on the SIOC ontology. We then explored an approach for predicting using a combination content, user, thread features. show how influence features differs across communities. Further demonstrate certain unique some our community systems can boost predictability
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