Learning to rank is a new statistical learning technology on creating a ranking model for sorting objects. The technology has been successfully applied to web search, and is becom...
Tao Qin, Tie-Yan Liu, Xu-Dong Zhang, De-Sheng Wang...
We describe a recommender system in the domain of grocery shopping. While recommender systems have been widely studied, this is mostly in relation to leisure products (e.g. movies...
Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-...
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
A very long instruction word (VLIW) processorexploits parallelism by controlling multiple operations in a single instruction word. This paper describes the architecture and compil...
Robert Cohn, Thomas R. Gross, Monica S. Lam, P. S....
: sNICh: Efficient Last Hop Networking in the Data Center Kaushik Kumar Ram, Jayaram Mudigonda, Alan L. Cox, Scott Rixner, Partha Ranganathan, Jose Renato Santos HP Laboratories H...
Kaushik Kumar Ram, Jayaram Mudigonda, Alan L. Cox,...