Dissertation > Excellent graduate degree dissertation topics show

Research on Technology of Personalized Recommendation in E-business Based on Data Mining

Author: YangFan
Tutor: JiangJianGuo
School: Xi'an University of Electronic Science and Technology
Course: Applied Computer Technology
Keywords: E-commerce web data mining Collaborative Filtering Recommended system
CLC: TP311.13
Type: Master's thesis
Year: 2008
Downloads: 445
Quote: 5
Read: Download Dissertation

Abstract


With the popularity of the Internet , e-commerce has made great progress because of its fast and convenient , high efficiency , low cost . Commerce sites have been expanding , the structure becomes more complex . For customers , in the face of a large number of product information , often unable to find the goods they need , how to effectively improve the attractiveness of its website ; For businesses , enhance customer service levels , get more business benefits are the problems to be solved . E-commerce recommendation system is an effective means to solve this problem . Firstly, the current recommendation system theory and key technology in-depth analysis and research , analyzed the problems in the existing recommendation system . The establishment of an e-commerce recommendation system architecture , and a detailed description of the function of each module in the system , structure as well as the realization of the algorithm . In order to improve the accuracy of the personalized recommendation system based on the customer preferences page the implicit collaborative filtering algorithm ( CPPICF ) , focuses on the customers nearest neighbor problem in collaborative filtering to achieve the objective rating of information , better solution data sparsity problem . The recommended results deviation for the system , this paper design recommendation algorithm CRF and evaluate the availability and effectiveness of the algorithm , enhanced customer satisfaction , and improve the quality of the recommended . Consider to CPPICF algorithm in the large amount of data computing efficiency is not high ; recommendation results in the form of multi- hyperlink recommendation , personalization is not obvious . So , the follow - up work on the one hand to improve the algorithm , customers browse the pages of time into a strong representation of the data is less model ; the other hand , is the study of how to combine a personal interest in the characteristics of the client , using the appropriate form interface ( such as floating ads , etc.) to provide customers with the recommendation, in order to improve the degree of personalization .

Related Dissertations

  1. The Empirical Research of Customer Loyalty on Clothing Network Marketing,F274
  2. Medium Occupation School Chinese Lesson Design Thinking and Practice,G633.3
  3. Recent Development of the Scope of Application of the CISG,D997.1
  4. Empirical Study on Price Level and Price Dispersion in B2C E-commerce Market,F724.6
  5. Profit Model of 3G-based Mobile Commerce in China,F626
  6. Study on the Consumer Protection in Electronic Commerce Research System,D923.8
  7. HTC e-commerce business model of the company,F724.6
  8. The Research on the Commercial Usage of New Chinese Caricature,J218.2
  9. Research on Intelligent Electrical Appliances Shopping Guide System,TP311.52
  10. The Application of Web Data Mining Technology on Network Education BBS,G434
  11. Based on the telecommunications industry procurement management system design and implementation,TP311.52
  12. Feature Based Informative Model for Music Recommendation,TP391.3
  13. Based on Data Mining Technology Jobs System Design and Implementation,TP311.13
  14. Classification model based monitoring of e-commerce Prohibited Research and Implementation,TP393.09
  15. Web-based data mining for personalized Search Engine,TP391.3
  16. Dynamic Recommended Technology Research and the Personality of the Application of E-police,D631.1
  17. A Study on Collaborative Recommendation Model Based on Rough Set,TP18
  18. American Chamber of Commerce in China after the Cold War in the promotion of an active role in the development of Sino-US economic and trade relations,F752.7
  19. Business e-commerce ecosystem to build and balance,F713.36
  20. Study on Home Delivery Mode and Distribution Model for Fresh Agricultural Product Based on E-commerce,F724.6
  21. COD acquiring business modeling and e-business applications,TP311.52

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer software > Program design,software engineering > Programming > Database theory and systems
© 2012 www.DissertationTopic.Net  Mobile