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An experimental evaluation of ontology-based user profiles

机译:基于本体的用户配置文件的实验评估

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摘要

In recent years, a number of research works have been carried out to improve the information retrieval process by exploiting external knowledge, e.g. by employing ontologies. Even though ontologies seem to be a promising technique to improve the retrieval process, hardly any study has been performed to evaluate the use of ontologies over a longer time period to model user interests. In this work we introduce an ontology based video recommender system that exploits implicit relevance feedback to capture users' evolving information needs. The system exploits a generic ontology to organise users' interests. We evaluate the recommendations by performing a user-centred multiple time-series study where participants were asked to include the system into their daily news gathering routine. The results of this study suggest that the system can be successfully employed to improve personal information seeking tasks in news domain.
机译:近年来,已经进行了许多研究工作,以通过利用外部知识来改进信息检索过程。通过使用本体。尽管本体似乎是改善检索过程的一种有前途的技术,但几乎没有进行任何研究来评估本体在较长时间段内对用户兴趣的使用情况。在这项工作中,我们介绍了一个基于本体的视频推荐系统,该系统利用隐式相关性反馈来捕获用户不断发展的信息需求。该系统利用通用本体来组织用户的兴趣。我们通过执行以用户为中心的多个时间序列研究来评估建议,在该研究中,要求参与者将系统纳入其日常新闻收集例程中。这项研究的结果表明,该系统可以成功用于改善新闻领域中的个人信息搜索任务。

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