A similarity metric designed to speed up, using hardware, the recommender systems k-nearest neighbors algorithm

作者：

Highlights：

• kNN algorithm performance.

• Collaborative filtering hardware similarity measure.

• Low-cost recommender systems hardware circuits.

摘要

•kNN algorithm performance.•Collaborative filtering hardware similarity measure.•Low-cost recommender systems hardware circuits.

论文关键词：CF,Collaborative Filtering,RS,Recommender System,JMSD,Jaccard Mean Squared Differences,NN,Nearest Neighbors,kNN,k Nearest Neighbors,COR,Pearson Correlation,MAE,Mean Absolute Error,MSD,Mean Squared Differences,DFM,Deviation From Mean,Similarity measure,Metric,Collaborative filtering,Memory based,Recommender system

论文评审过程：Received 4 February 2013, Revised 24 May 2013, Accepted 14 June 2013, Available online 16 July 2013.

论文官网地址：https://doi.org/10.1016/j.knosys.2013.06.010