A Deep Look into neural ranking models for information retrieval-Reference-Cited by-同舟云学术

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A Deep Look into neural ranking models for information retrieval

Published:2020-11 Issue:6 Volume:57 Page:102067
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Guo Jiafeng,Fan Yixing,Pang Liang,Yang Liu,Ai Qingyao,Zamani Hamed,Wu Chen,Croft W. Bruce,Cheng Xueqi

Funder

National Natural Science Foundation of China

Youth Innovation Promotion Association CAS

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference156 articles.

1. ComQA: A community-sourced dataset for complex factoid question answering with paraphrase clusters;Abujabal,2019

2. Multi-task learning for document ranking and query suggestion;Ahmad,2018

3. Learning a deep listwise context model for ranking refinement;Ai,2018

4. Unbiased learning to rank: Theory and practice;Ai,2018

5. Learning groupwise scoring functions using deep neural networks;Ai,2019

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