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- W2377080950 abstract "Recommendation systems are based on users,items,and evaluation by users. Due to theinformation overloadproblem by the processing,it can mine similar users or items. According to the similarity of user or items, it can implement recommend the interested and needed item to user. Building a prototype of recommender system, allocating the relative engineering files,it can realize recommender system. The result shows that based on Mahout recommender system,it can efficiently realize the personalized recommendation to improve the user satisfaction." @default.
- W2377080950 created "2016-06-24" @default.
- W2377080950 creator A5029567198 @default.
- W2377080950 date "2014-01-01" @default.
- W2377080950 modified "2023-09-23" @default.
- W2377080950 title "Build a Recommender System Based on Mahout" @default.
- W2377080950 hasPublicationYear "2014" @default.
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