Tao: A Learning Framework for Adaptive Nearest Neighbor Search using Static Features Only

no code implementations • 2 Oct 2021 • Kaixiang Yang, Hongya Wang, Bo Xu, Wei Wang, Yingyuan Xiao, Ming Du, Junfeng Zhou

In the middle of query execution, AdaptNN collects a number of runtime features and predicts termination condition for each individual query, by which better end-to-end latency is attained.

feature selection Information Retrieval +2

A Note on Graph-Based Nearest Neighbor Search

no code implementations • 21 Dec 2020 • Hongya Wang, Zhizheng Wang, Wei Wang, Yingyuan Xiao, Zeng Zhao, Kaixiang Yang

And which data property affects the efficiency and how?

Clustering

Detection of Shilling Attack Based on T-distribution on the Dynamic Time Intervals in Recommendation Systems

no code implementations • 18 Aug 2019 • Wanqiao Yuan, Yingyuan Xiao, Xu Jiao, Wenguang Zheng, Zihao Ling

First of all, based on the characteristics of shilling attack quickness (Attackers inject a large number of fake profiles in a short period in order to save costs), we use dynamic time interval method to divide the rating history of item into multiple time windows.

Anomaly Detection Recommendation Systems

A Novel Kalman Filter Based Shilling Attack Detection Algorithm

no code implementations • 18 Aug 2019 • Xin Liu, Yingyuan Xiao, Xu Jiao, Wenguang Zheng, Zihao Ling

Collaborative filtering has been widely used in recommendation systems to recommend items that users might like.

Collaborative Filtering Recommendation Systems