• DocumentCode
    3578635
  • Title

    An adaptive framework for personalized recommendation algorithms

  • Author

    Jianchang Tang ; Xinhuai Tang

  • Author_Institution
    Sch. of Software Eng., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2014
  • Firstpage
    105
  • Lastpage
    108
  • Abstract
    Different personalized recommendation algorithms are suitable for different scenarios. In this paper, we use artificial neural networks to implement an adaptive framework. When we add different recommendation algorithms into it and train it with the data from a given scenario, it can calculate the weight of each algorithm, choose suitable algorithms and give a more accurate prediction rating.
  • Keywords
    neural nets; recommender systems; adaptive framework; artificial neural network; personalized recommendation algorithm; prediction rating; Prediction algorithms; adaptive framework; artificial neural networks; personalized recommendation algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Internet of Things (CCIOT), 2014 International Conference on
  • Print_ISBN
    978-1-4799-4765-2
  • Type

    conf

  • DOI
    10.1109/CCIOT.2014.7062515
  • Filename
    7062515
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3578635