Review of the Art of Recommendation Algorithms
Zhao Peng-fei · Journal of Shanxi University · 2011
Recommendation is one of primary ways to addressing the problem of Internet information overload,and has been applied to many areas including E-business.Although there exit different kinds of recommendation algorithms and systems,we are still faced some key challenges which have not been well solved for constructing more intelligent and more robust recommender systems,and the involved research is still the hot point of intelligent information processing.We describes the background and significance of the studies of recommendation techniques,and then introduces main recommendation algorithms including collaborative filtering recommendation algorithms,content based recommendation algorithms,graph structure based recommendation algorithms,and hybrid recommendation algorithms,moreover,discusses the advantages and disadvantages of existing algorithms,and finally concludes main evaluation methods and main issues,improvements and future research directions.