3 papers
cs.IR2026
FASHION-RQ: Mining Hierarchical Semantic Structure for Automated Evaluation of Fashion Retrieval
Tripti Shukla, Shwetha Somasundaram, Akshat Gupta +3
Evaluating fashion retrieval systems remains challenging due to the limited availability of benchmarks that capture the fine-grained, open-ended queries encountered in real-world s…
cs.IR2026
HASTE: Hierarchical and Attribute-aware Supervision for Generative Recommendation
Tripti Shukla, Shwetha Somasundaram, Akshat Gupta +3
Generative recommendation models have shown promising results by representing items as semantic IDs and generating these IDs autoregressively. We introduce an approach showing that…
cs.LG2023
Short-lived High-volume Multi-A(rmed)/B(andits) Testing
Su Jia, Andrew Li, R. Ravi +3
Modern platforms leverage randomized experiments to make informed decisions from a given set of items (``treatments''). As a particularly challenging scenario, these items may (i)…