Dissertation > Excellent graduate degree dissertation topics show

Research on B2C Oriented Web Documents Clustering System

Author: LiWeiHua
Tutor: MaHuiMin
School: Huazhong University of Science and Technology
Course: Management Science and Engineering
Keywords: Web Mining B2C e-commerce Text Clustering Web Spiders Vector space model
CLC: TP391.1
Type: Master's thesis
Year: 2005
Downloads: 110
Quote: 0
Read: Download Dissertation

Abstract


The rapid development of B2C e-commerce , but also exposed some problems, such as : very difficult due to the expansion of information , customers in search for the information you need from the e-commerce site , search engine or other search engine . The reduction of the level of customer experience that will certainly affect the B2C e-commerce development . As the Web mining an important means of Web documents clustering method , better able to solve this problem . In this paper, Web document clustering method used in B2C e-commerce in attempts , given a thin web document clustering system framework and the core functionality of the program to achieve . The article mainly points a discussion of the following three parts : First, the demand for B2C e-commerce Web mining is proposed based on the Web page of the document clustering recommendations and commodities recommended two applications integration point . Page recommendation but also divided based provider of different applications and utilities of the e-commerce site search engine search engine applications . And then on the basis of the analysis of two Web mining system framework , proposed a streamlined system of Web document clustering framework , its processing steps . Finally , the analysis of a Web document clustering system concrete realization of the three key technologies : Web access to the document , the text representation and text clustering computing . Web document access using a meta-search engine technology and custom web spider technology . The representation of the text using the vector space model (VSM), given its implementation of the method in the analysis of the strengths and weaknesses of the VSM . Text clustering using a hierarchical clustering method based matrix clustering methods can also be integrated into the system well . Discussion of the three key technologies , this paper presents an experimental design and results analysis . This work summarizes and further work needs to be done is given at the end of the article .

Related Dissertations

  1. Research and Implementation of Mining Implicit User Interest,TP311.13
  2. Research on Focused Crawler Based on SVM Classification Algorithm,TP391.3
  3. HTC e-commerce business model of the company,F724.6
  4. Research and Implement of the Theme Crawler for Automotive Industry,TP391.3
  5. Analysis for Fraud Regulation and Logistics Investment of EM2C Business with Real Option Approach,F252;F713.36
  6. The Empirical Study of the Effect Customer Value to Customer Loyalty Under B2C E-commerce Environment,F724.6;F224
  7. An Empirical Research on the Initial Trust in B2C Electronic Commerce,F274;F224
  8. Research on Loyalty Formation Mechanism of the Business to Consumer E-Commerce for Domestic University Students,F724.6
  9. On Research for Chinese Automatic Text Categorization Technology Based on VSM Model and Feature Selection,TP391.1
  10. The Research and Implementation of Web Page Classification in Enterprise Search Engine,TP393.092
  11. Text filtering isolation technology - based research,TP393.08
  12. Evolutionary Clustering Algorithm and Its Application,TP311.13
  13. Based on N-grams phrase Chinese Web text clustering and pretreatment of,TP391.1
  14. A Study on the Method of Feature Selection in Text Categorization,TP391.1
  15. Research on Border Distance Based Document Clustering Method,TP391.1
  16. Feature-based clustering method phrase pages online,TP393.092
  17. A Improvement on Method for Session Identification in Web Log Mining,TP393.09
  18. Design and Implementation of Lucene-Based Music News Search Engine,TP391.3
  19. Research on Web Mining Based on Social Network Analysis Methods,TP311.13
  20. Research and Implementation of Chinese Cross-Document Coreference Resolution,TP391.1
  21. Web Page Information Filtering Method Research Based on Vector Space Model,TP393.092

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
© 2012 www.DissertationTopic.Net  Mobile