LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search.
Yuchen LiHaoyi XiongLinghe KongShuaiqiang WangZeyi SunHongyang ChenGuihai ChenDawei YinPublished in: ECML/PKDD (6) (2023)
Keyphrases
- learning to rank
- web search
- ranking functions
- query dependent
- information retrieval
- loss function
- evaluation measures
- web search engines
- search engine
- ranking models
- query logs
- complex networks
- direct optimization
- learning to rank algorithms
- document retrieval
- structured data
- ranking svm
- web pages
- evaluation metrics
- relevance judgments
- query suggestion
- supervised learning
- graph mining
- search queries
- clickthrough data
- data sets
- information retrieval systems
- community detection
- average precision
- web graph
- ranking algorithm
- test collection