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2Â¥: Originally posted by sys_gao at 2013-11-06 15:09:12
Accession number:  20134316889026

  Title:  Research on personalized courseware recommendation system of rural distance learning based on combination recommendation technology
  Authors:  Guo,  ...

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3Â¥2013-11-06 15:24:42
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zhaojichun_0(è¾è¾´ú·¢): ½ð±Ò+5, ·Ç³£¸Ðл 2013-11-07 15:11:30
Accession number:  20134316889026

  Title:  Research on personalized courseware recommendation system of rural distance learning based on combination recommendation technology
  Authors:  Guo, Jian Xin1, 2 ; Zhao, Ji Chun1, 2   
  Author affiliation:  1 Institute of Information on Science and Technology of Agriculture, Beijing Academy of agriculture and forestry Sciences, Beijing, 100097, China  
   2 The Research Center of Beijing Engineering technology for Rural Remote Information Services, Beijing, 100097, China  
  Source title:  Applied Mechanics and Materials
  Abbreviated source title:  Appl. Mech. Mater.
  Volume:  373-375
  Monograph title:  Mechatronics, Robotics and Automation
  Issue date:  2013
  Publication year:  2013
  Pages:  1652-1660
  Language:  English
  ISSN:  16609336  
  E-ISSN:  16627482  
  ISBN-13:  9783037858066  
  Document type:  Conference article (CA)
  Conference name:  2013 International Conference on Mechatronics, Robotics and Automation, ICMRA 2013
  Conference date:  June 13, 2013 - June 14, 2013
  Conference location:  Guangzhou, China
  Conference code:  100297  
  Sponsor:  Korea Maritime University; Inha University; Hong Kong Industrial Technology Research Centre
  Publisher:  Trans Tech Publications Ltd, Kreuzstrasse 10, Zurich-Durnten, CH-8635, Switzerland
  Abstract:  This paper proposed a model of combination recommendation, focusing on analysis and comparison of content filtering recommendation technology and collaborative filtering recommendation technology based on the mainstream personalized recommendation technology, and the model working process is given. For how to solve the problem of sparse and cold start, the paper gave the solve methods, and discussed the process of combination recommendation algorithm, and then introduced a method of developing and designing personalized courseware recommendation system of rural modern distance learning, and introduced the optimization measures of functional modules and performance. It provides a useful reference for distance education site to carry out personalized training services for rural adult users. © (2013) Trans Tech Publications, Switzerland.
  Number of references:  9
  Main heading:  Robotics  
  Controlled terms:  Curricula  -  Distance education  -  E-learning  -  Recommender systems  -  Technology  
  Uncontrolled terms:  Collaborative filtering recommendations  -  Combination recommendation  -  Functional modules  -  Optimization measures  -  Personalized learning  -  Personalized recommendation  -  Recommendation algorithms  -  Recommendation technologies  
  Classification code:  723.5 Computer Applications -  731.5 Robotics -  901 Engineering Profession -  901.2 Education
  DOI:  10.4028/www.scientific.net/AMM.373-375.1652
  Database:  Compendex
   Compilation and indexing terms, © 2013 Elsevier Inc.
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