Learning Relevant Questions for Conversational Product Search using Deep Reinforcement Learning-Reference-Cited by-同舟云学术

Learning Relevant Questions for Conversational Product Search using Deep Reinforcement Learning

Published:2022-02-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
language:
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Author:

Montazeralghaem Ali¹,Allan James¹

Affiliation:

1. University of Massachusetts Amherst, Amherst, MA, USA

Funder

Center for Intelligent Information Retrieval - University of Massachusetts Amherst

Amazon.com

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3488560.3498526

Reference44 articles.

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4. Conversational Product Search Based on Negative Feedback

5. Haw-Shiuan Chang , Ziyun Wang , Luke Vilnis , and Andrew McCallum . 2017. Distributional inclusion vector embedding for unsupervised hypernymy detection. arXiv preprint arXiv:1710.00880 ( 2017 ). Haw-Shiuan Chang, Ziyun Wang, Luke Vilnis, and Andrew McCallum. 2017. Distributional inclusion vector embedding for unsupervised hypernymy detection. arXiv preprint arXiv:1710.00880 (2017).

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