12 citations · 42 across the 7 of their papers we have counts for
9 papers
Billion-Scale Thumbnail Optimization for Uncurated Short-Form Videos via Multi-Armed Bandits
Ying Han, Ling Liu, Fabio Soldo +7
This paper introduces a real-time thumbnail optimization system deployed at a global scale on a major short-form video platform. Unlike traditional long-form content, where…
Tokens are All You Need: Dual-purpose Semantic IDs for Achieving LLM-Level I/O Efficiency in recommendation systems
Baolei Li, Yiping Yuan, Yilin Zheng +6
Large-scale recommendation systems face "Memory Wall" bottlenecks due to massive, dense embedding tables. While generative retrieval uses discrete tokens for IDs, high-dimensional…
PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations
Ruining He, Lukasz Heldt, Lichan Hong +20
Large Language Models (LLMs) pose a new paradigm of modeling and computation for information tasks. Recommendation systems are a critical application domain poised to benefit signi…
A State Transition Model for Mobile Notifications via Survival Analysis
Yiping Yuan, Jing Zhang, Shaunak Chatterjee +2
Mobile notifications have become a major communication channel for social networking services to keep users informed and engaged. As more mobile applications push notifications to…
Evaluating Crowdsourcing Participants in the Absence of Ground-Truth
Ramanathan Subramanian, Romer Rosales, Glenn Fung +1
Given a supervised/semi-supervised learning scenario where multiple annotators are available, we consider the problem of identification of adversarial or unreliable annotators.
Discriminative Clustering with Relative Constraints
Yuanli Pei, Xiaoli Z. Fern, Rómer Rosales +1
We study the problem of clustering with relative constraints, where each constraint specifies relative similarities among instances. In particular, each constraint $(x_i, x_j, x_k)…