A holistic framework for user recommendation in social networks
=== As social networks grow larger and larger, finding users of interest becomes an increasingly difficult task, making them great scenarios for the application of recommender systems. In this work, we perform an extensive evaluation of content-based, collaborative-based, and diffusion-based algori...
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Format: | Others |
Language: | Portuguese |
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Universidade Federal de Minas Gerais
2013
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Online Access: | http://hdl.handle.net/1843/ESBF-9GNGU9 |