4 citations · 11 across the 14 of their papers we have counts for
4 papers · 2 filters
Constrained Approximate Similarity Search on Proximity Graph
Weijie Zhao, Shulong Tan, Ping Li
Search engines and recommendation systems are built to efficiently display relevant information from those massive amounts of candidates. Typically a three-stage mechanism is emplo…
Asymmetric Hashing for Fast Ranking via Neural Network Measures
Khoa Doan, Shulong Tan, Weijie Zhao +1
Fast item ranking is an important task in recommender systems. In previous works, graph-based Approximate Nearest Neighbor (ANN) approaches have demonstrated good performance on it…
FeatureBox: Feature Engineering on GPUs for Massive-Scale Ads Systems
Weijie Zhao, Xuewu Jiao, Xinsheng Luo +3
Deep learning has been widely deployed for online ads systems to predict Click-Through Rate (CTR). Machine learning researchers and practitioners frequently retrain CTR models to t…
Proximity Graph Maintenance for Fast Online Nearest Neighbor Search
Zhaozhuo Xu, Weijie Zhao, Shulong Tan +2
Approximate Nearest Neighbor (ANN) search is a fundamental technique for (e.g.,) the deployment of recommender systems. Recent studies bring proximity graph-based methods into prac…