1、Information
publication：www2016
author:Julian McAuley
2、What
学习商品评论中的信息，对商品的提问，自动给出回答：按照相关程度排序
3、Dataset
Amazon 商品评论，描述，问答
4、How :
input: 1)binary question: review 的label:yes,no，eg:Is this bike a medium? My daughter is 5’8 |“This is a great bike for a tall person.” (yes, .711)
2)商品query, top-answer,review rank. “how many hours does it keep hot and cold ?”| It doesn’t, I returned the one I purchased| “Does keep the coffee very hot for several hours.”
output:1) review是某个label的概率及label；2)review 是best answer 的概率
method：Bilinear models，MOQA
5、Evaluation:Accuray@k
详情见ppt.
Addressing Complex and Subjective Product-Related Queries with Customer Reviews-www2016-20160505
原文：http://www.cnblogs.com/baiting/p/5463549.html