A Latent Source Model for Online Collaborative Filtering
Despite the prevalence of collaborative filtering in recommendation systems, there has been little theoretical development on why and how well it works, especially in the “online” setting, where items are recommended to users over time. We address this theoretical gap by introducing a model for onli...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
| Published: |
Neural Information Processing Systems Foundation, Inc.
2014
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| Online Access: | http://hdl.handle.net/1721.1/91678 https://orcid.org/0000-0003-0737-3259 https://orcid.org/0000-0003-1303-582X |