Knowledge Transfer

Knowledge Transfer for Entity Resolution with Siamese Neural Networks featured image

Knowledge Transfer for Entity Resolution with Siamese Neural Networks

We propose a deep Siamese neural network that learns a similarity measure tailored to a dataset, eliminating manual feature engineering. We also show that knowledge transfer …

Michael Loster
Integrating similarity and dissimilarity notions in recommenders featured image

Integrating similarity and dissimilarity notions in recommenders

Collaborative recommenders rely on the assumption that similar users may exhibit similar tastes while content-based ones favour items that found to be similar with the items a user …

Christos Zigkolis