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Social web artifacts for boosting recommenders: theory and implementation
Recommender systems, software programs that learn from human behavior and make predictions of what products we are expected to appreciate and purchase, have become an integral part of our everyday life. They proliferate across electronic commerce around the globe and exist for virtually all sorts of...
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| Lenguaje: | eng |
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Springer
2013
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| Acceso en línea: | https://dx.doi.org/10.1007/978-3-319-00527-0 http://cds.cern.ch/record/1552007 |