Neural Rating Regression with Abstractive Tips Generation for Recommendation-Reference-Cited by-同舟云学术

Neural Rating Regression with Abstractive Tips Generation for Recommendation

Published:2017-08-07 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval
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Author:

Li Piji¹,Wang Zihao¹,Ren Zhaochun²,Bing Lidong³,Lam Wai¹

Affiliation:

1. Chinese University of Hong Kong, Hong Kong, China

2. Data Science Lab, JD.com, Beijing, China

3. AI Lab, Tencent Inc., Shenzhen, China

Funder

Research Grant Council of the Hong Kong Special Administrative Region

Microsoft Research Asia Urban Informatics

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3077136.3080822

Reference48 articles.

1. Amjad Almahairi Kyle Kastner Kyunghyun Cho and Aaron Courville. 2015. Learning distributed representations from reviews for collaborative filtering RecSys. ACM 147--154. Amjad Almahairi Kyle Kastner Kyunghyun Cho and Aaron Courville. 2015. Learning distributed representations from reviews for collaborative filtering RecSys. ACM 147--154.

2. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate ICLR. Dzmitry Bahdanau Kyunghyun Cho and Yoshua Bengio. 2015. Neural machine translation by jointly learning to align and translate ICLR.

3. Lidong Bing Piji Li Yi Liao Wai Lam Weiwei Guo and Rebecca Passonneau. 2015. Abstractive Multi-Document Summarization via Phrase Selection and Merging ACL. 1587--1597. Lidong Bing Piji Li Yi Liao Wai Lam Weiwei Guo and Rebecca Passonneau. 2015. Abstractive Multi-Document Summarization via Phrase Selection and Merging ACL. 1587--1597.

4. Recommender systems based on user reviews: the state of the art

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