Title :
Based on slope-one hybrid recommendation
Author :
Zhao Zhengde ; Li Jianjun
Author_Institution :
Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
Abstract :
This paper is researched on hybrid recommendation. It is mixed with user´s similarity, Hamming distance, Cluster and Slope one to get a good prediction. This paper propose take into account Hamming distance to cluster .and then we take f(x)=x+b to predict the item rated in the cluster. At last, This paper verified the model through experiments and carried out the proposed recommendation model drawn feasible.
Keywords :
pattern clustering; recommender systems; Hamming distance; clustering; slope-one hybrid recommendation; Clustering algorithms; Collaboration; Conferences; Educational institutions; Filtering; Hamming distance; Vectors; Slope one; clustering; personalized service recommendation;
Conference_Titel :
Advanced Research and Technology in Industry Applications (WARTIA), 2014 IEEE Workshop on
Conference_Location :
Ottawa, ON
DOI :
10.1109/WARTIA.2014.6976232
