3 papers
cs.CR2026
PADER: Paillier-based Secure Decentralized Social Recommendation
Chaochao Chen, Jiaming Qian, Fei Zheng +1
The prevalence of recommendation systems also brings privacy concerns to both the users and the sellers, as centralized platforms collect as much data as possible from them. To kee…
cs.IR2025
Text-to-Pipeline: Bridging Natural Language and Data Preparation Pipelines
Yuhang Ge, Yachuan Liu, Zhangyan Ye +2
Data preparation (DP) transforms raw data into a form suitable for downstream applications, typically by composing operations into executable pipelines. Building such pipelines is…
cs.AI2025
MontePrep: Monte-Carlo-Driven Automatic Data Preparation without Target Data Instances
Congcong Ge, Yachuan Liu, Yixuan Tang +3
In commercial systems, a pervasive requirement for automatic data preparation (ADP) is to transfer relational data from disparate sources to targets with standardized schema specif…