4 papers
Text-Guided Visual Representation Learning for Robust Multimodal E-Commerce Recommendation
Yufei Guo, Jing Ma, Tianlu Zhang +5
Multimodal item embeddings are crucial for e-commerce item-to-item (I2I) retrieval, yet real-world product images often contain promotional overlays and background clutter that inj…
OxygenREC: An Instruction-Following Generative Framework for E-commerce Recommendation
Xuegang Hao, Ming Zhang, Alex Li +30
Traditional recommendation systems suffer from inconsistency in multi-stage optimization objectives. Generative Recommendation (GR) mitigates them through an end-to-end framework;…
Cloud-Native Vector Search: A Comprehensive Performance Analysis
Zhaoheng Li, Wei Ding, Silu Huang +5
Vector search has been widely employed in recommender system and retrieval-augmented-generation pipelines, commonly performed with vector indexes to efficiently find similar items…
SIEVE: Effective Filtered Vector Search with Collection of Indexes
Zhaoheng Li, Silu Huang, Wei Ding +2
Many real-world tasks such as recommending videos with the kids tag can be reduced to finding most similar vectors associated with hard predicates. This task, filtered vector searc…