Probabilistic models over ordered partitions with applications in document ranking and collaborative filtering

Probabilistic models over ordered partitions with applications in document ranking and collaborative filtering

Ranking is an important task for handling a large amount of content. Ideally, training data for supervised ranking would include a complete rank of documents (or other objects such as images or videos) for a particular query. However, this is only possible for small sets of documents. In practice, o...

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Bibliographic Details
Main Authors: Tran, Truyen, Phung, Dinh, Venkatesh, Svetha
Other Authors: Not known
Format: Conference Paper
Published: Omnipress 2011
Online Access:http://hdl.handle.net/20.500.11937/17402

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