Social web artifacts for boosting recommenders : theory and implementation
Material type: TextLanguage: English Series: Studies in computational intelligence, 487Publication details: Springer 2013 Description: xviii, 187pISBN: 9783319005263 (HB)Subject(s): Data mining | Recommender systems (Information filtering) | Artificial intelligence – Web 2.0DDC classification: 006.312 ZIE(SOC)Item type | Current library | Call number | Materials specified | Copy number | Status | Date due | Barcode | Item holds |
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Books | Central Library | 006.312 ZIE(SOC) (Browse shelf(Opens below)) | 1 | Available | 29946 |
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006.312 ZAK(DAT) Data mining and machine learning : fundamental concepts and algorithms | 006.312 ZHA(DAT) Data Mining Applications with R | 006.312 ZHA(DAT) Data mining applications with R | 006.312 ZIE(SOC) Social web artifacts for boosting recommenders : theory and implementation | 006.312 ZON(TEX) Text data mining | 006.312 ZUM(PRA) Practical data science with R | 006.312 ZUM(PRA) Practical data science with R |
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