@inproceedings{inproceedings,
added-at = {2020-01-17T03:01:45.000+0100},
author = {Chen, Chong and Min, Zhang and Liu, Yiqun and Ma, Shaoping},
biburl = {https://www.bibsonomy.org/bibtex/213533085c09d926cf170e51b76e5a7d6/simon_diener},
description = {The primary paper of interest. The paper presents the NARRE framework consisting of a mixture of different approaches including convolutional neural networks, attention mechanism and latent factor models. The paper claims to introduce the usefulness metric of reviews.},
doi = {10.1145/3178876.3186070},
interhash = {12b511c1e06d170f11318e2c37aca1a5},
intrahash = {13533085c09d926cf170e51b76e5a7d6},
isbn = {978-1-4503-5639-8},
keywords = {final thema:neural_attentional_rating_regression},
month = {04},
pages = {1583-1592},
timestamp = {2020-01-17T03:01:45.000+0100},
title = {Neural Attentional Rating Regression with Review-level Explanations},
year = 2018
}