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Found 3 papers, 1 papers with code
Query-dominant User Interest Network for Large-Scale Search Ranking
The overall historical behaviors are various but noisy while search behaviors are always sparse.
HGARN: Hierarchical Graph Attention Recurrent Network for Human Mobility Prediction
To address these issues, we present Hierarchical Graph Attention Recurrent Network (HGARN) for human mobility prediction.
HQANN: Efficient and Robust Similarity Search for Hybrid Queries with Structured and Unstructured Constraints
The in-memory approximate nearest neighbor search (ANNS) algorithms have achieved great success for fast high-recall query processing, but are extremely inefficient when handling hybrid queries with unstructured (i. e., feature vectors) and structured (i. e., related attributes) constraints.
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