Deep Search Relevance Ranking in Practice-Reference-Cited by-同舟云学术

Deep Search Relevance Ranking in Practice

Published:2022-08-14 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Pang Linsey¹,Liu Wei²,Chang Keng-Hao³,Li Xue³,Bhattacharya Moumita⁴,Liu Xianjing⁵,Guo Stephen⁶

Affiliation:

1. Salesforce, San Francisco, CA, USA

2. University of Technology Sydney, Sydney, Australia

3. Microsoft, Mountain View, CA, USA

4. Netflix, Los Gatos, CA, USA

5. Twitter, San Jose , CA, USA

6. Walmart Global Tech, Sunnyvale, CA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3534678.3542632

Reference9 articles.

1. Introduction to Information Retrieval

2. Jacob Devlin Ming-Wei Chang Jianjin Zhang Weihao Han Kenton Lee Kristina Toutanova and Qi Zhang. 2019. Pre-training of Deep Bidirectional Transformers for Language Understanding:BERT. In NAACL-HLT (1). 4171--4186. Jacob Devlin Ming-Wei Chang Jianjin Zhang Weihao Han Kenton Lee Kristina Toutanova and Qi Zhang. 2019. Pre-training of Deep Bidirectional Transformers for Language Understanding:BERT. In NAACL-HLT (1). 4171--4186.

3. Learning deep structured semantic models for web search using clickthrough data

4. João Lages and Joao Paulo Carvalho . 2020 . Relevance Ranking for Web Search. In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). 1--8. https: //doi.org/10 .1109/FUZZ48607.2020.9177802 João Lages and Joao Paulo Carvalho. 2020. Relevance Ranking for Web Search. In 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). 1--8. https: //doi.org/10.1109/FUZZ48607.2020.9177802

5. Companion Proceedings of The 2019 World Wide Web Conference

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