A hybrid recommendation approach for hierarchical items

Publisher:
IEEE
Publication Type:
Conference Proceeding
Citation:
Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering, ISKE 2010, 2010, pp. 492 - 497
Issue Date:
2010-01
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Recommender systems aim to recommend items that are likely to be of interest to the user. In many business situations, complex items are described by hierarchical tree structures, which contain rich semantic information. To recommend hierarchical items a
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