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- W2393200207 abstract "With the development of internet technology,we usually hope to consumer history records and recommender the possible interested products to the consumers,and obtain better sale records.In coal system,they hope to recommend to users with the potential coal products through analyzing users' consuming records.Collaborative filtering algorithm is widely used in Coal Recommendation System,and item-based KNN collaborative filtering algorithm completes clustering and recommendation through analyzing the similarity of the items.Traditional item based KNN collaborative filtering algorithm could not deal with huge scale coal sale data effectively to complete recommendation work.In this paper,based on large scale data,we propose a distributed item-based KNN collaborative filtering algorithm on MapReduce cloud computing platform.The experimental results show that the algorithm in this paper has high speed-up,and good scalability." @default.
- W2393200207 created "2016-06-24" @default.
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- W2393200207 date "2013-01-01" @default.
- W2393200207 modified "2023-09-28" @default.
- W2393200207 title "Research and Application of Cloud Platform Based on KNN Collaborative Filtering Algorithm in Coal System" @default.
- W2393200207 hasPublicationYear "2013" @default.
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