Z Ren, S Liang, P Li, S Wang, M de Rijke - cseweb.ucsd.edu
ABSTRACT A recommendation is called explainable if it not only predicts a numerical rating for an item, but also generates explanations for users' preferences. Most existing methods …
Z Ren, S Liang, P Li, S Wang, M de Rijke - scholar.archive.org
ABSTRACT A recommendation is called explainable if it not only predicts a numerical rating for an item, but also generates explanations for users' preferences. Most existing methods …
Z Ren, S Liang, P Li, S Wang, M de Rijke - ir.sdu.edu.cn
ABSTRACT A recommendation is called explainable if it not only predicts a numerical rating for an item, but also generates explanations for users' preferences. Most existing methods …
Z Ren, S Liang, P Li, S Wang, M de Rijke - renzhaochun.github.io
ABSTRACT A recommendation is called explainable if it not only predicts a numerical rating for an item, but also generates explanations for users' preferences. Most existing methods …
Z Ren, S Liang, P Li, S Wang, M de Rijke - irlab.science.uva.nl
ABSTRACT A recommendation is called explainable if it not only predicts a numerical rating for an item, but also generates explanations for users' preferences. Most existing methods …
Z Ren, S Liang, P Li, S Wang, M de Rijke - staff.fnwi.uva.nl
ABSTRACT A recommendation is called explainable if it not only predicts a numerical rating for an item, but also generates explanations for users' preferences. Most existing methods …
Z Ren, S Liang, P Li, S Wang, M de Rijke - cseweb.ucsd.edu
ABSTRACT A recommendation is called explainable if it not only predicts a numerical rating for an item, but also generates explanations for users' preferences. Most existing methods …