3 citations · 4 across the 2 of their papers we have counts for
3 papers
cs.DB2017★ 1 cited
Preference-driven Similarity Join
Chuancong Gao, Jiannan Wang, Jian Pei +2
Similarity join, which can find similar objects (e.g., products, names, addresses) across different sources, is powerful in dealing with variety in big data, especially web data. T…
cs.LG2016
Scaling Submodular Maximization via Pruned Submodularity Graphs
Tianyi Zhou, Hua Ouyang, Yi Chang +2
We propose a new random pruning method (called "submodular sparsification (SS)") to reduce the cost of submodular maximization. The pruning is applied via a "submodularity graph" o…
cs.IR2011★ 3 cited
Refining Recency Search Results with User Click Feedback
Taesup Moon, Wei Chu, Lihong Li +2
Traditional machine-learned ranking systems for web search are often trained to capture stationary relevance of documents to queries, which has limited ability to track non-station…