Improving end-system recommender systems using cross-platform personal information

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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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Bibliographic Details
Main Author:	Alanazi, Sultan
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2017
Subjects:	Cross-domain recommendation User modeling Cross-platform Social media mining
Online Access:	https://eprints.nottingham.ac.uk/44864/

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