Dissertation > Excellent graduate degree dissertation topics show

Regional Characteristics of the Farmer-based Portable Recommendation System for Agricultural Information

Author: JiangZuo
Tutor: YangXiaoHua
School: Nanhua University
Course: Applied Computer Technology
Keywords: Agricultural Information Personalized recommendation Portable systems Regional characteristics
CLC: S126
Type: Master's thesis
Year: 2009
Downloads: 85
Quote: 1
Read: Download Dissertation

Abstract


Agricultural information is the basis of the modernization of agriculture. Traditional Internet environment, China's agricultural information dissemination \Official business in our country has been in full swing with the 3G mobile communication network coverage throughout the rural areas to the wider-based high-speed mobile Internet applications, a new way for the majority of farmers increased access to agricultural information. Based mobile information platform for the dissemination of the mobile Internet and mobile phone portable terminal structures than traditional network and computer easier to grasp, lower cost, more timeliness. A hardware basis for timely, practical agricultural information service. The combination of agricultural information service system based on this platform, will address the application of agricultural information does not solve the problem in the traditional network. For the actual needs of the majority of farmers on agricultural production information, trying to farmers own user features, combined with the existing agricultural information and practical technology, mobile Internet and portable mobile terminal information carrier, to carry out agricultural information personalized recommendations in it take the initiative to push for farmers to adapt to the the farmers needs of agricultural information, and farmers implicit feedback timely adjustment recommend strategies and provide a way for the timely and efficient use of agricultural information resources, and improve agricultural information dissemination in the \problem. This study personalized recommendation system of principles and techniques of analysis the Agricultural Information personalized recommendation serve the information needs of the regional content classification features, based on farmers to regional characteristics and personality of the agriculture information classification agriculture information active recommendation system, agricultural information services more relevance and timeliness, and designed and implemented a prototype of a portable agricultural information recommendation system, combined with experimental data, to assess the interest of farmers on the proposed model and the recommendation algorithm based on the classification of agricultural information and test results show that the user model based on regional characteristics of farmers and classification recommendation algorithm based agricultural information only by user feedback to build than traditional user model based content filtering recommendation algorithm compared to the precision and recall The full rate has improved significantly. Main innovation of this paper the following areas: (1) the introduction of the theory of regional advantages of agriculture, analysis of farm area of ??competitive agricultural products, to build farmers regional advantages agricultural tree, and the use of regional information of the the farmers mobile network applications, access to farmers regional characteristics, combined with user feedback, build Household Model for Agricultural Information recommended; (2) combined with the five categories of agricultural information, design Dictionary of agricultural information, agricultural information page analysis results and Agricultural Information Dictionary generate the feature matching keyword, combined with farmers model for efficient and timely information Recommended; (3) Design and Implementation of a portable agricultural information the Recommended system prototype portable applications recommended for agricultural information to provide solutions.

Related Dissertations

  1. A Study on Construction of the Shanghai, Jinshan Agricultural Information,F320.1
  2. The Agricultural Information Status, Problems and Solutions in Yancheng,F320.1
  3. The Study on Countermeasures Against Agricultural Information Obstacles,F320.1
  4. Web Usage Mining and the Research of Personalized Recommendation,TP311.13
  5. The Research of Agricultural Information Development Model Based on the Internet of Things,F49
  6. Accelerate the construction of agricultural information in Hunan Research,F320.1
  7. Agent-based meta-search engine , personalized study,TP391.3
  8. Agricultural Information Construction Problems,F320.1
  9. Research on the Construction of the Agricultural Information Service System in Hunan Province,F320.1
  10. Research on Agricultural Information Construction of Taian City,F320.1
  11. The Study of the Barriers and Countermeasures in the Informational Development of Agriculture in Fujian Province,F320.1
  12. Research on the Development Problem of the Chinese Agricultural Information Service System,F320.1
  13. Research on Pottery Wells Excavated in the Tombs of Han Dynasty in Henan Province,K878.8
  14. Context of information technology quality of rural life empirical research,F224;F320
  15. Liaoning Province, the regional pattern of mass sports industry characteristics and development model,G812.7
  16. Research and Implementation of Image Edge Detection Based on Regional Features,TP391.41
  17. The Estimating and Countermeasures on the Demand of Internet of Things Technology Application in Agricultural Informationization,F49;F320
  18. Research on Personalized Recommendation Algorithm Based on Rough Set Theory,TP391.3
  19. Agricultural Information and Building a New Socialist Countryside,F320
  20. Study on the Level of Agricultural Imformation Service,F320.1

CLC: > Agricultural Sciences > Agriculture as the foundation of science > Agricultural physics > Electronic technology, computer technology in agriculture
© 2012 www.DissertationTopic.Net  Mobile