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Found 4 papers, 3 papers with code
Multi-intent-aware Session-based Recommendation
Session-based recommendation (SBR) aims to predict the following item a user will interact with during an ongoing session.
It's Enough: Relaxing Diagonal Constraints in Linear Autoencoders for Recommendation
Inspired by this analysis, we propose simple-yet-effective linear autoencoder models using diagonal inequality constraints, called Relaxed Linear AutoEncoder (RLAE) and Relaxed Denoising Linear AutoEncoder (RDLAE).
ConQueR: Contextualized Query Reduction using Search Logs
One extracts core terms from an original query at the term level, and the other determines whether a sub-query is a suitable reduction for the original query at the sequence level.
Tidally Excited Modes and $δ$ Scuti Pulsations in the Eclipsing Triple Star IM Persei
IM Per is a triple star system whose eclipsing pair masses and radii are accurate to within 1 \%.
Solar and Stellar Astrophysics
