Computer Science ›› 2016, Vol. 43 ›› Issue (Z6): 523-525.doi: 10.11896/j.issn.1002-137X.2016.6A.124

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Books Recommended Reading System Based on Android

DING Yong and ZHU Chang-shui   

  • Online:2018-11-14 Published:2018-11-14

Abstract: With the development of mobile internet technology,the mobile reading has become a kind of life habits.In order to help the reader find the favorite books in tens of thousands of “Sea of books”,this paper applied the classic FP-Growth frequent itemsets mining algorithm into book recommendation system.Based on the reader’s reading history records,the algorithm mines frequent book combination,extracts association rules satisfying minimum support and mini-mum confidence threshold.According to the rules,intelligent books can be recommended.Experiments show that,this system can offer rapid and accurate books recommended service for the readers.

Key words: Books recommendation,Android,Association rules,FP-Growth

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