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zhaojichun_0金蟲 (小有名氣)
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需要EI的檢索頁面，請發(fā)zhaojichun_0@163.com 獎勵一朵小紅花，十分感謝 文章標題：Research on Personalized Courseware Recommendation System of Rural Distance Learning Based on Combination Recommendation Technology |
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zhaojichun_0(杈杈代發(fā)): 金幣+5, 非常感謝 2013-11-07 15:11:30
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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. |
2樓2013-11-06 15:09:12
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