A Learning-to-Rank Formulation of Clustering-Based Approximate Nearest Neighbor Search.
Thomas VecchiatoClaudio LuccheseFranco Maria NardiniSebastian BruchPublished in: SIGIR (2024)
Keyphrases
- learning to rank
- approximate nearest neighbor search
- nearest neighbor
- ranking functions
- information retrieval
- loss function
- hash functions
- ranking svm
- metric space
- document retrieval
- learning to rank algorithms
- nearest neighbor search
- locality sensitive hashing
- kd tree
- web search engines
- web search
- supervised learning
- retrieval systems
- collaborative filtering
- multimedia
- feature selection