Paprotny, Alexander
Realtime Data Mining
1. Brave New Realtime World: Introduction
Alexander Paprotny, Michael Thess
2. Strange Recommendations? On the Weaknesses of Current Recommendation Engines
Alexander Paprotny, Michael Thess
3. Changing Not Just Analyzing: Control Theory and Reinforcement Learning
Alexander Paprotny, Michael Thess
4. Recommendations as a Game: Reinforcement Learning for Recommendation Engines
Alexander Paprotny, Michael Thess
5. How Engines Learn to Generate Recommendations: Adaptive Learning Algorithms
Alexander Paprotny, Michael Thess
6. Up the Down Staircase: Hierarchical Reinforcement Learning
Alexander Paprotny, Michael Thess
7. Breaking Dimensions: Adaptive Scoring with Sparse Grids
Alexander Paprotny, Michael Thess
8. Decomposition in Transition: Adaptive Matrix Factorization
Alexander Paprotny, Michael Thess
9. Decomposition in Transition II: Adaptive Tensor Factorization
Alexander Paprotny, Michael Thess
10. The Big Picture: Toward a Synthesis of RL and Adaptive Tensor Factorization
Alexander Paprotny, Michael Thess
11. What Cannot Be Measured Cannot Be Controlled: Gauging Success with A/B Tests
Alexander Paprotny, Michael Thess
12. Building a Recommendation Engine: The XELOPES Library
Alexander Paprotny, Michael Thess
13. Last Words: Conclusion
Alexander Paprotny, Michael Thess
Avainsanat: Mathematics, Computational Science and Engineering, Mathematical Applications in Computer Science, Mathematical Software
- Tekijä(t)
- Paprotny, Alexander
- Thess, Michael
- Julkaisija
- Springer
- Julkaisuvuosi
- 2013
- Kieli
- en
- Painos
- 2013
- Sarja
- Applied and Numerical Harmonic Analysis
- Sivumäärä
- 23 sivua
- Kategoria
- Eksaktit luonnontieteet
- Tiedostomuoto
- E-kirja
- eISBN (PDF)
- 9783319013213