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20192026
most citedTrying to Outrun Causality with Machine Learning: Limitations of Model Explainability Techniques for Identifying Predictive Variables

7 citations · 12 across the 14 of their papers we have counts for

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cs.IR2026

Sequences as Nodes for Contrastive Multimodal Graph Recommendation

Bucher Sahyouni, Matthew Vowels, Liqun Chen +1

To tackle cold-start and data sparsity issues in recommender systems, numerous multimodal, sequential, and contrastive techniques have been proposed. While these augmentations can…

cs.IR2026

Multimodal Enhancement of Sequential Recommendation

Bucher Sahyouni, Matthew Vowels, Liqun Chen +1

We propose a novel recommender framework, MuSTRec (Multimodal and Sequential Transformer-based Recommendation), that unifies multimodal and sequential recommendation paradigms. MuS…