11 citations
- Microsoft Research (United Kingdom)GB3 papers
- Microsoft Research (India)IN2 papers
- Princeton UniversityUS2 papers
- The University of Texas at AustinUS2 papers
- University of ChicagoUS2 papers
- William & MaryUS2 papers
- Allergan (India)IN1 paper
- Carnegie Mellon UniversityUS1 paper
- Cisco Systems (United States)US1 paper
- Colonial Williamsburg FoundationUS1 paper
- Indian Institute of Technology DelhiIN1 paper
- Microsoft Research Asia (China)CN1 paper
Showing cs.IRShow all
2 papers · 1 filter
cs.IR2026★ 2 cited
Extreme Meta-Classification for Large-Scale Zero-Shot Retrieval
Sachin Yadav, Deepak Saini, Anirudh Buvanesh +6
We develop accurate and efficient solutions for large-scale retrieval tasks where novel (zero-shot) items can arrive continuously at a rapid pace. Conventional Siamese-style approa…
cs.IR2026
PCR-CA: Parallel Codebook Representations with Contrastive Alignment for Multiple-Category App Recommendation
Bin Tan, Wangyao Ge, Yidi Wang +4
Modern app store recommender systems struggle with multiple-category apps, as traditional taxonomies fail to capture overlapping semantics, leading to suboptimal personalization. W…