Author

M. D. Rijke

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#small language model Preprint Oct 2026

LSNR: Learned Sparse News Recommendations with Attentive User Modeling

LSNR encodes each article independently and constructs a sparse user vector by combining learned, attention-based weighting of the per-article sparse representations with a dense-projected expansion at the user level, which confirms that learned attention-based aggregation outperforms simpler pooling alternatives.

David Vos, Andrew Yates, M. de Rijke · 0 citations

Book Open access Jul 2026

Prior-Data Fitted Networks as Tabular Foundation Models for Ranking in Low-Data Settings

This work demonstrates that PFNs, which are originally trained for classification, successfully outperform classification baselines on ranking data and introduces a novel sampling and inference scheme to obtain pairwise predictions from PFNs' native pointwise architecture, analogous to pairwise LTR.

David Vos, Samarth Bhargav, M. D. Rijke et al. · International Conference on... · 0 citations