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Research of Optimized Agricultural Information Collaborative Filtering Recommendation Systems

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成果类型:
会议论文
作者:
Fang Kui*;Wang Juan;Bu Weiqiong
通讯作者:
Fang Kui
作者机构:
[Bu Weiqiong; Fang Kui; Wang Juan] Hunan Agr Univ, Coll Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.
通讯机构:
[Fang Kui] H
Hunan Agr Univ, Coll Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.
语种:
英文
关键词:
Collaborative filtering;rating matrix;recommendations system;user similarity
期刊:
Communications in Computer and Information Science
ISSN:
1865-0929
年:
2011
卷:
134
期:
I
页码:
692-697
会议名称:
International Conference on Intelligent Computing and Information Science
会议论文集名称:
Communications in Computer and Information Science
会议时间:
JAN 08-09, 2011
会议地点:
Chongqing, PEOPLES R CHINA
会议主办单位:
[Fang Kui;Wang Juan;Bu Weiqiong] Hunan Agr Univ, Coll Informat Sci & Technol, Changsha 410128, Hunan, Peoples R China.
会议赞助商:
Control Engn & Informat Sci Res Assoc, Int Frontiers Sci & Technol Res Assoc, Chongqing Xueya Conferences Catering Co Ltd, Chongqing Univ Technol
主编:
Chen, R
出版地:
HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY
出版者:
SPRINGER-VERLAG BERLIN
ISBN:
978-3-642-18128-3
基金类别:
HuNan Municipal Science and Technology [2010J05]; Hunan Science and Technology Programs [2008FJ3046]
机构署名:
本校为第一且通讯机构
院系归属:
信息科学技术学院
摘要:
The problems of information overload and resource disorientation which is caused by information explosion become more serious, especially for lots of farmers, who know little computer technologies. In order to provide information and knowledge conveniently, timely and efficiently to farmers, researchers do studies on recommendations system. In this paper, key technologies in recommender system are introduced. we provide a solution that construct a non-missing data user evaluation matrix through the clustering of the items. Addressing the differ...

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