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Exploiting the wisdom of the crowds for characterizing and connecting heterogeneous resources
Proceedings of the 25th ACM conference on Hypertext and social media - HT '14
Heterogeneous content is an inherent problem for crosssystem search, recommendation and personalization. In this paper we investigate differences in topic coverage and the impact of topicstopics in different kinds of Web services. We use entity extraction and categorization to create 'fingerprints' that allow for meaningful comparison. As a basis taxonomy, we use the 23 main categories of Wikipedia Category Graph, which has been assembled over the years by the wisdom of the crowds. Following adoi:10.1145/2631775.2631797 dblp:conf/ht/KawaseSNHN14 fatcat:dnmcu4lkbna7fjckbk4rjuf4zy