From the 1 of 5 papers with an AI index.
5 papers
TransX: Scaling Transformer-based Recommendation via Behavioral and Serving Stream Crossings
Da Xu, Liyan Fang, Divya Venugopalan +5
Modern industrial recommender systems (RecSys) increasingly adopt Transformer-based sequence models, with an emerging paradigm that frames recommendation as next-token prediction o…
Deep-learning Causal Retrieval Optimization for Efficient e-commerce Distribution in Pinterest
Junpeng Hou, XianXing Zhang, Sai Xiao +6
The paper presents a deep learning system that decides when to trigger shopping recommendations in Pinterest, using causal inference to reduce unnecessary triggers while maintainin…
Personalizing Marketplace Policies with Competing Objectives and Constrained Experiments: Evidence from a Job Marketplace
Yufei Wu, Zhen Yan
Two-sided marketplaces connect distinct user groups whose interests often conflict -- improving outcomes on one side could degrade the other side's experience. To address this chal…
Scalable Network-Aware Experiment Design for Two-Sided Marketplaces
Yi Su, Zhen Yan
Measuring causal effects in networked two-sided marketplaces is challenging due to treatment interference between market participants on different sides. When treatment is applied…
A Unified Structured Query Understanding Framework for Industrial Semantic Search
Ping Liu, Qianqi Shen, Jianqiang Shen +15
Query understanding in large-scale industrial search systems is typically implemented as a cascade of disparate, task-specific components. While individually optimizable, this frag…