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- W2123940388 abstract "In today's information environments, tagging is widely used to provide in- formation about arbitrary types of digital resources. This information is usually created by end users with different motivations and for different kinds of purposes. When aim- ing to support users in the tagging process, these differences play an important role. In this paper several approaches to generate tag recommendations are discussed, and a prototypical recommender system for the social resource sharing platform ALOE is presented. This interactive system allows users to control the generation of the recom- mendations by selecting the sources to be used as well as their impact. The component was introduced at DFKI, and a first evaluation showed that the recommender compo- nent was considered as helpful by a majority of users." @default.
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- W2123940388 date "2009-01-01" @default.
- W2123940388 modified "2023-09-23" @default.
- W2123940388 title "Providing Multi Source Tag Recommendations in a Social Resource Sharing Platform" @default.
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