Improving Ranking Consistency for Web Search by Leveraging a Knowledge Base and Search Logs-Reference-Cited by-同舟云学术

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Improving Ranking Consistency for Web Search by Leveraging a Knowledge Base and Search Logs

Published:2015-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 24th ACM International on Conference on Information and Knowledge Management
language:
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Author:

Jiang Jyun-Yu¹,Liu Jing²,Lin Chin-Yew²,Cheng Pu-Jen¹

Affiliation:

1. National Taiwan University, Taipei, Taiwan Roc

2. Microsoft Research, Beijing, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/2806416.2806479

Reference31 articles.

1. Learning consensus opinion

2. Inferring and using location metadata to personalize web search

3. Classification-enhanced ranking

4. Modeling the impact of short- and long-term behavior on search personalization

5. Ranking with query-dependent loss for web search

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1. Entity Disambiguation with Extreme Multi-label Ranking;Proceedings of the ACM Web Conference 2024;2024-05-13

2. Designing Formulae for Ranking Search Results: Mixed Methods Evaluation Study;JMIR Human Factors;2022-03-25

3. Designing Formulae for Ranking Search Results: Mixed Methods Evaluation Study (Preprint);2021-05-11

4. Strategies Comparison in Link Building Problem;Intelligent Distributed Computing XIII;2019-10-02

5. RIN;Proceedings of the 27th ACM International Conference on Information and Knowledge Management;2018-10-17

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