2 citations · 4 across the 4 of their papers we have counts for
4 papers
Tao: A Learning Framework for Adaptive Nearest Neighbor Search using Static Features Only
Kaixiang Yang, Hongya Wang, Bo Xu +4
Approximate nearest neighbor (ANN) search is a fundamental problem in areas such as data management,information retrieval and machine learning. Recently, Li et al. proposed a learn…
A Note on Graph-Based Nearest Neighbor Search
Hongya Wang, Zhizheng Wang, Wei Wang +3
Nearest neighbor search has found numerous applications in machine learning, data mining and massive data processing systems. The past few years have witnessed the popularity of th…
A Novel Kalman Filter Based Shilling Attack Detection Algorithm
Xin Liu, Yingyuan Xiao, Xu Jiao +2
Collaborative filtering has been widely used in recommendation systems to recommend items that users might like. However, collaborative filtering based recommendation systems are v…
Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems
Wanqiao Yuan, Yingyuan Xiao, Xu Jiao +2
With the development of information technology and the Internet, recommendation systems have become an important means to solve the problem of information overload. However, recomm…