DocumentCode
507646
Title
Personalized Recommendation Based on Similarity of Cloud Model
Author
Luo, Rong ; Yuxi Gong
Author_Institution
Inst. of Comput. Eng., Qingdao Technol. Univ., Qingdao, China
Volume
3
fYear
2009
fDate
Nov. 30 2009-Dec. 1 2009
Firstpage
356
Lastpage
359
Abstract
Analyzing the present situation of personalized recommendation system. Point out the limitation of similarity based on voting, and the disadvantage of the strict matching in calculating similarity. Put forward a new personalized recommendation method based on the statistics of item. Adopt the cloud model to calculate the similarity instead of traditional strict matching of cosine method. The experiments show that the system has better performance.
Keywords
recommender systems; cloud model; cosine method; personalized recommendation system; strict matching; Availability; Cloud computing; Collaboration; Electronic mail; Information filtering; Information filters; Knowledge acquisition; Knowledge engineering; Statistics; Voting; cloud model; personalized recommendation; similarity; statistics of item;
fLanguage
English
Publisher
ieee
Conference_Titel
Knowledge Acquisition and Modeling, 2009. KAM '09. Second International Symposium on
Conference_Location
Wuhan
Print_ISBN
978-0-7695-3888-4
Type
conf
DOI
10.1109/KAM.2009.190
Filename
5362283
Link To Document