Paper Title:
Web Personalization for Chinese Travel Websites
  Abstract

In this study, we proposed a conceptual architecture of web personalization based on subject taxonomy tree and click-through analyses in order to improve the browsing efficiency and user satisfaction. In order to construct user profile, a hierarchal subject taxonomy tree of travel information was built. This tree has five attributes which represent the interests of a single user. Each user has his profile for generating personal categories while searching. The system then adjusts user profiles according to each user’s browsing behavior in order to learn different interests of each user. Textual data in Chinese travel web sites are used for experimental data and a prototype system is implemented in order to evaluate the proposed architecture. The result shows that personal classification is able to improve the outcome of browsing efficiency and user satisfaction on web search.

  Info
Periodical
Key Engineering Materials (Volumes 474-476)
Edited by
Garry Zhu
Pages
1470-1474
DOI
10.4028/www.scientific.net/KEM.474-476.1470
Citation
S. M. Pi, "Web Personalization for Chinese Travel Websites", Key Engineering Materials, Vols. 474-476, pp. 1470-1474, 2011
Online since
April 2011
Authors
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Huan Hai Yang
Abstract:In recent years, there have been extensive studies and rapid progresses in automatic text classification, which is one of the hotspots and...
1006
Authors: Xi Ai Yan, Jin Min Yang
Abstract:The difficulty of filtrating network negative information lies in how to classify information correctly. As one of the classification method...
911
Authors: Chantima Ekwong, Sageemas Na Wichain, Choochart Haruechaiyasak
Chapter 13: Modeling, Analysis and Simulation of Manufacturing Processes
Abstract:According to the laws of education in Thailand, the Office for National Education Standards and Quality Assessment is responsible for...
3724
Authors: Song Li Hou, Yuan Li
Chapter 3: New Technology on Manufacturing
Abstract:By research of the current network traffic idenfication methods and typical network user behavior analysis methods,a online network user...
707
Authors: Yan Feng Zhang, Ting Ting Li
Chapter 3: Data Acquisition and Data Processing, Computational Techniques
Abstract:C4.5, Bayesian network and Sequential Minimal Optimization (SMO) are three typical classification algorithms in data mining. Using...
963