Map retrieval intention recognition based on relevance feedback and geographic semantic guidance: For better understanding user retrieval demands-Reference-Cited by-同舟云学术

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Map retrieval intention recognition based on relevance feedback and geographic semantic guidance: For better understanding user retrieval demands

Published:2024-07 Issue:4 Volume:61 Page:103767
ISSN:0306-4573
Container-title:Information Processing & Management
language:en
Short-container-title:Information Processing & Management

Author:

Gui Zhipeng^ORCID,Liu Xinjie,Zhao Anqi,Jiang Yuhan,Ling Zhipeng,Hu Xiaohui,Li Fa,Yang Zelong,Wu Huayi,Zhao Shuangming

Publisher

Elsevier BV

Reference65 articles.

1. Fast algorithms for mining association rules;Agrawal,1994

2. Finding probabilistic rule lists using the minimum description length principle;Aoga,2018

3. Information theory;Ash,1990

4. Ontop-spatial: Ontop of geospatial databases;Bereta;Journal of Web Semantics,2019

5. TakeXIR: A type-ahead keyword search XML information retrieval system;Chen;International Journal of Intelligent Systems and Applications,2012

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