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TIB reading rooms collection
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Recovery of Training Data from Overparameterized Autoencoders: An Inverse Problem Perspective
Free accessArXiv | 2023| -
Matrix Factorization Techniques for Recommender Systems - As the Netflix Prize competition has demonstrated, matrix factorization models are superior to classic nearest-neighbor techniques for producing product recommendations, allowing the incorporation of additional information such as implicit feedback, temporal effects, and confidence levels.
Online Contents | 2009| -
One-dimensional layout optimization, with applications to graph drawing by axis separation
Online Contents | 2005| -
On the Difficulty of Evaluating Baselines: A Study on Recommender Systems
Free accessArXiv | 2019| -
MEDIA RECOMMENDATION USING INTERNET MEDIA STREAM MODELING
Free accessEuropean Patent Office | 2017|