Markov random walk vs. higher-order factorization machines: a comparison of state-of-the-art recommender algorithms
Year of publication: |
2017
|
---|---|
Authors: | Knoll, Julian ; Köckritz, David ; Groß, Rainer |
Published in: |
Higher-order factorization machines : implementation, application, and comparison of a state-of-the-art recommender approach. - Erlangen. - 2017, p. 105-131
|
Subject: | Personalisierung | Personalization | Vergleich | Comparison | Markov-Kette | Markov chain | Random Walk | Random walk | Künstliche Intelligenz | Artificial intelligence | Lernprozess | Learning process |
-
Recent techniques and algorithms for cryptocurrencies' price prediction : a literature review
Haxhimehmeti, Haris, (2025)
-
Review-based recommendation under preference uncertainty : an asymmetric deep learning framework
Xiong, Yingqiu, (2024)
-
Noise-robust sampling for collaborative metric learning
Matsui, Ryo, (2022)
- More ...
-
Groß, Rainer, (1998)
-
How the distribution of the number of items rated per user influences the quality of recommendations
Grottke, Michael, (2017)
-
Quality of recommender algorithms under differently distributed data
Knoll, Julian, (2017)
- More ...