A survey paper on the state of the art recommender systems. It gives insight to the pros and cons of different approaches as well as predictions on future work.
%0 Journal Article
%1 unknown
%A Zhang, Yongfeng
%A Chen, Xu
%D 2018
%K final thema:neural_attentional_rating_regression
%T Explainable Recommendation: A Survey and New Perspectives
@article{unknown,
added-at = {2020-01-17T03:27:04.000+0100},
author = {Zhang, Yongfeng and Chen, Xu},
biburl = {https://www.bibsonomy.org/bibtex/203a85df2edf76e45855d07fce1a7218b/simon_diener},
description = {A survey paper on the state of the art recommender systems. It gives insight to the pros and cons of different approaches as well as predictions on future work.},
interhash = {3fb3dbf54ed006b255b5c9a56c76756d},
intrahash = {03a85df2edf76e45855d07fce1a7218b},
keywords = {final thema:neural_attentional_rating_regression},
month = {04},
timestamp = {2020-01-17T03:27:04.000+0100},
title = {Explainable Recommendation: A Survey and New Perspectives},
year = 2018
}