Dissertation > Excellent graduate degree dissertation topics show

Research on Personal Recommendation Service in Education Information Sharing System

Author: ZhangZuo
Tutor: DingZhenGuo
School: Xi'an University of Electronic Science and Technology
Course: Computer System Architecture
Keywords: education information resource recommendation system collaborative filtering content-base commendation
CLC: TP393.09
Type: Master's thesis
Year: 2008
Downloads: 153
Quote: 2
Read: Download Dissertation


With the exponential growth of education information, users are encompassed by plenty of education information and faced with the problem of "Information overload" at the same time. Therefore, it is an urgent demand to realize personal education information service for education information sharing.In this paper, the Item-based Collaborative Filtering Recommendation technology is applied to education information sharing field. Because most of the education information resource is multimedia resource, it can not be described exactly with keywords. So the score which users estimate resource items is used to recommend resources. First, the basic theory of education information construction and the problems in the education resource sharing are stated. Then the key techniques of personal recommendation technology and user modeling are introduced. Personal recommendation algorithm is the core of the personalization recommendation system. Thereby, based on analyzing and researching advantages and disadvantages of the present algorithm, a personal recommendation method of education information with the combination of content-based recommendation and item-based collaborative filtering is designed, which solves the problem of sparsity and scalability to a certain extent. Finally, the design of education information sharing system and the personal recommendation module is brought forward. According to the characteristics of education resources and users’ study, the user model and resource model are designed and the function of education information recommendation is implemented, which provides a new clue for realizing education information sharing and personalization recommendation services of education information.

Related Dissertations

  1. Establishment and Update of Similar Users’ Cluster in Personalized Information Retrieval,TP391.3
  2. Research on Personalized Recommendation Algorithm Based on Natural Forgetting,TP311.52
  3. On the Establishment of China’s System of Sentencing Suggestion,D926.3
  4. A Study of M-commerce Personalized Recommendation System Based on the Ant Colony Algorithm,TP391.3
  5. Based on a user interested in discovering collaborative filtering,TP391.3
  6. Feature Based Informative Model for Music Recommendation,TP391.3
  7. Social tagging systems based personalized recommendation engine technology,TP391.3
  8. GPU-based book recommendation system Research and Implementation,TP391.3
  9. C2C e-commerce mode based product recommendation system applied research,F724.6
  10. Recommended based on social tagging systems research,TP391.3
  11. Research on Personalization Recommender Technologies Based on User’s Interesting and Behavior of Browsing,TP391.3
  12. Study on Collaborative Filtering Recommendation Algorithm Based on Feature Vectors,TP391.3
  13. Research and Application of Resource Recommendation Based on Pragmatics Context,TP391.3
  14. Research on Sentencing Right to Make Recommendations,D925.2
  15. Dynamic Recommended Technology Research and the Personality of the Application of E-police,D631.1
  16. Ideological and Political Education Information Resources Management Research,G641
  17. Research on Technology about Privacy-Preserving for Cross System Personalization,TP393.08
  18. Agent e-commerce recommendation system collaborative filtering technology,F713.36
  19. Research on Dual Information Source Model-Based Collaborative Filtering Algorithms,TP301.6
  20. Design and Implementation of a Personalized Library Information Pushing System Based on AJAX,TP311.52
  21. Key technology research initiative recommendation system based on collaborative filtering,TP311.52

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > The application of computer network
© 2012 www.DissertationTopic.Net  Mobile