使用维基百科的社会化书签服务中的书签推荐

2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS) Pub Date : 2013-06-16 DOI:10.1109/ICIS.2013.6607898

Takumi Yoshida, Ushio Inoue

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引用次数: 0

摘要

社会书签系统允许用户将自由选择的关键字作为标签附加到网页书签上。这些标签用于向其他用户推荐相关的书签。但是，由于标签的多样性，并不能保证每个用户都得到足够的推荐书签。在本文中，我们提出了一个基于维基百科的个性化推荐系统。我们的系统扩展了一个标签集，通过使用维基百科分类数据库来查找相似的用户和相关的书签。实验结果表明，推荐的相关书签数量显著增加，但噪声没有显著增加。

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Bookmark recommendation in social bookmarking services using Wikipedia

Social bookmarking systems allow users to attach freely chosen keywords as tags to bookmarks of web pages. These tags are used to recommend relevant bookmarks to other users. However, there is no guarantee that every user get enough bookmark recommended, because of the diversity of tags. In this paper, we propose a personalized recommender system using Wikipedia. Our system extends a tag set to find similar users and relevant bookmarks by using the Wikipedia category database. The experimental results show that significant increase of relevant bookmarks recommended without notable increase of the noise.

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来源期刊

2013 IEEE/ACIS 12th International Conference on Computer and Information Science (ICIS)

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