Performance evaluation of latent factor models for rating prediction
Since the Netflix Prize competition, latent factor models (LFMs) have become the comparison ``staples'' for many of the recent recommender methods. Meanwhile, it is still unclear to understand the impact of data preprocessing and updating algorithms on LFMs. The performance improvement of...
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| Language: | English en |
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2015
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| Online Access: | http://hdl.handle.net/1828/6011 |