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Learning query and document relevance from a web-scale click graph
Shan Jiang
, Yuening Hu
, Changsung Kang
, Tim Daly
, Dawei Yin
, Yi Chang
,
Chengxiang Zhai
Statistics
School of Information Sciences
Carl R. Woese Institute for Genomic Biology
Siebel School of Computing and Data Science
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Keyphrases
Vector Representation
100%
Document Relevance
100%
Web-scale
100%
Query Relevance
100%
Click Graph
100%
Click Logs
66%
Evaluation Results
33%
Propagation Algorithms
33%
Multiple Baseline
33%
Multi-task
33%
Information Retrieval
33%
Search Engine
33%
Content Information
33%
Learning to Rank
33%
Ranking Model
33%
Search Logs
33%
Click-through
33%
Semantic Space
33%
Ranking Performance
33%
Large-scale Search
33%
Computer Science
Evaluation Result
100%
Propagation Algorithm
100%
Search Engine
100%
Multiple Task
100%
Content Information
100%
Information Retrieval
100%