Improving end-system recommender systems using cross-platform personal information
Today, the web is constantly growing, expanding global information space and more and more data is being processed and sourced online. The amount of electronically accessible and available online information is overwhelming. Increasingly, recommendation systems, which engage in some form of autom...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2017
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| Online Access: | https://eprints.nottingham.ac.uk/44864/ |