Intent-aware Retrieval
Intent-Aware Retrieval is a knowledge retrieval paradigm that identifies and leverages the underlying user intent to guide the selection and ranking of relevant information, thereby distinguishing itself from context- or keyword-based retrieval methods by explicitly modeling intentional semantics.
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221
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2017–2026
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Generating Clarifying Questions for Information Retrieval
Hamed Zamani, Susan Dumais, Nick Craswell et al. · 2020 · 215 citations · Full text
Attribute-augmented semantic hierarchy
Hanwang Zhang, Zheng-Jun Zha, Yang Yang et al. · 2013 · 142 citations
A search engine for finding highly relevant applications
Mark Grechanik, Chen Fu, Qing Xie et al. · 2010 · 134 citations
Integration of news content into web results
Fernando Díaz · 2009 · 131 citations
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Microsoft (United States)
Redmond, United States
8 h-index
21 publications
2.2K citations
Microsoft Research Asia (China)
Beijing, China
5 h-index
7 publications
569 citations

Renmin University of China
Beijing, China
4 h-index
12 publications
482 citations
Yahoo (United States)
Sunnyvale, United States
4 h-index
9 publications
548 citations

University of Helsinki
Helsinki, Finland
3 h-index
12 publications
191 citations

Chinese Academy of Sciences
Beijing, China
3 h-index
5 publications
338 citations
Google (United States)
Mountain View, United States
3 h-index
10 publications
410 citations
Waseda University
Tokyo, Japan
3 h-index
4 publications
176 citations
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PVLDB · 2 publications · 69 citations
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Repository · 1 publications · 14 citations
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1 publications · 14 citations
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1 publications · 50 citations
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TOMCCAP · 1 publications · 31 citations
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