2 papers
cs.DB2025
Efficient Partition-based Approaches for Diversified Top-k Subgraph Matching
Liuyi Chen, Yuchen Hu, Zhengyi Yang +3
Subgraph matching is a core task in graph analytics, widely used in domains such as biology, finance, and social networks. Existing top-k diversified methods typically focus on max…
cs.IR2021
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction
Runlong Yu, Yuyang Ye, Qi Liu +4
Click-Through Rate (CTR) prediction is a core task in nowadays commercial recommender systems. Feature crossing, as the mainline of research on CTR prediction, has shown a promisin…