Realtime Data Mining Self-Learning Techniques for Recommendation Engines /
Describing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Engines features a sound mathematical framework unifying approaches based on control and learning theories, tensor factorization, and hierarchical methods. Furthermore...
| Κύριοι συγγραφείς: | Paprotny, Alexander (Συγγραφέας), Thess, Michael (Συγγραφέας) |
|---|---|
| Συγγραφή απο Οργανισμό/Αρχή: | SpringerLink (Online service) |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Cham :
Springer International Publishing : Imprint: Birkhäuser,
2013.
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| Σειρά: | Applied and Numerical Harmonic Analysis,
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| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
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