Twitter中使用概念模糊集的推荐

2010 Annual Meeting of the North American Fuzzy Information Processing Society Pub Date : 2010-07-12 DOI:10.1109/NAFIPS.2010.5548208

Takatoshi Sakaguchi, Yuya Akaho, T. Takagi, Takuya Shintani

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引用次数: 12

摘要

最近，虽然有很多技术对信息进行排名，但很少有研究如何对用户进行排名，从而帮助形成在线社区。我们建议使用一个系统通过分析用户的兴趣来推荐用户，并使用概念模糊集来扩展查询。我们展示了使用概念模糊集推荐用户的有效性。这可以应用于形成社区。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Recommendations in Twitter using conceptual fuzzy sets

Recently, though there are a lot of techniques to rank information there are few studies on how to rank users and thus help to form online communities. We propose the use of a system to recommend the user by analyzing his or her interests, and using Conceptual Fuzzy Sets to expand a query. We show the effectiveness of using Conceptual Fuzzy Sets for recommending users. This can be applied to forming communities.

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2010 Annual Meeting of the North American Fuzzy Information Processing Society

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