4 papers
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…
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…
Generalized User Representations for Transfer Learning
Ghazal Fazelnia, Sanket Gupta, Claire Keum +3
We present a novel framework for user representation in large-scale recommender systems, aiming at effectively representing diverse user taste in a generalized manner. Our approach…
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)…