Seq2Seq models for recommending short text conversations

作者：

Highlights：

• This work introduces a new short-text conversational dataset in Spanish.

• We propose a novel task for recommending users to join conversations.

• We design and evaluate a new state-of-the-art neural recommender model.

摘要

•This work introduces a new short-text conversational dataset in Spanish.•We propose a novel task for recommending users to join conversations.•We design and evaluate a new state-of-the-art neural recommender model.

论文关键词：NLP,Recommender systems,Neural learning,Microblogs

论文评审过程：Received 22 October 2018, Revised 31 January 2020, Accepted 1 February 2020, Available online 7 February 2020, Version of Record 21 February 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.113270