Review of Research on Recommendation System
ZHANG Suzhi
ZHAO Yanan
YANG Rui
Abstract：With the rapid development of information industry,the scale of information resources presents a geometric expansion,how to find useful information in this huge amount of data becomes an urgent problem to be resolved.One of the main ways to solve the overloading of Internet information is recommendation.Although many recommendation algorithms have been developed over the years,more intelligent recommendation system has been built.However,there are still many problems,recommendation algorithm is still a hot topic.This paper introduces the main current recommendation algorithms,points out the shortcomings,and illustrates possible future research directions.
Keywords：information overloadrecommendation algorithmdepth learningdata mining
Publication Date：2017-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1-6 )