• DocumentCode
    123338
  • Title

    The research of recommendation system based on Hadoop cloud platform

  • Author

    Chunzhi Wang ; Zhou Zheng ; Zhuang Yang

  • Author_Institution
    Sch. of Comput. Sci., Hubei Univ. of Technol., Wuhan, China
  • fYear
    2014
  • fDate
    22-24 Aug. 2014
  • Firstpage
    193
  • Lastpage
    196
  • Abstract
    This paper integrates hadoop with recommendation system. Recommendation system is a system which makes predictions of user preferences. In this paper, we introduces a improved hybrid recommended algorithm and combine MapReduce programming which is used on Hadoop plaform. Through practice, the improved algorithm can accurately acquiring user preferences, provide the user with recommendation when the user browses the web page. Finally, Hadoop can meet the demand of massive data processing, and achieve a highly performance system by making use of the data reprocessing method.
  • Keywords
    cloud computing; data handling; recommender systems; Hadoop cloud platform; MapReduce programming; Web page; data reprocessing method; hybrid recommended algorithm; massive data processing; recommendation system; user preference predictions; Algorithm design and analysis; Computers; Educational institutions; Face recognition; Cloud computing; Hadoop; Hybrid algorithm; Recommended algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science & Education (ICCSE), 2014 9th International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4799-2949-8
  • Type

    conf

  • DOI
    10.1109/ICCSE.2014.6926453
  • Filename
    6926453