RecQR: Using Recommendation Systems for Query Reformulation to correct unseen errors in spoken dialog systems-Reference-Cited by-同舟云学术

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RecQR: Using Recommendation Systems for Query Reformulation to correct unseen errors in spoken dialog systems

Published:2023-09-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 17th ACM Conference on Recommender Systems
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Author:

Bhandari Manik¹^ORCID,Wang Mingxian²^ORCID,Poliannikov Oleg²^ORCID,Shimizu Kanna²^ORCID

Affiliation:

1. Alexa AI, Amazon, USA

2. Amazon, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3604915.3610235

Reference22 articles.

1. [n. d.]. Collaborative Filtering. https://en.wikipedia.org/wiki/Collaborative_filtering. Accessed: 2022-05-31. [n. d.]. Collaborative Filtering. https://en.wikipedia.org/wiki/Collaborative_filtering. Accessed: 2022-05-31.

2. Supervised random walks

3. Fast incremental and personalized PageRank

4. Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning

5. Zheng Chen Xing Fan Yuan Ling Lambert Mathias and Chenlei Guo. 2020. Pre-Training for Query Rewriting in A Spoken Language Understanding System. https://doi.org/10.48550/ARXIV.2002.05607 10.48550/ARXIV.2002.05607

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