Paper Info
Title
Categorizing Photographs for User-Adapted Searching in a News Agency E-Commerce Application
Abstract
In this work, we present a system for categorizing photographs based on the text of their captions. The system has been developed as a part of the system CODI, an e-commerce application for an Spanish news agency. The categorization system makes able to the user the personalization of their infor- mation interests, improving search possibilities in the CODI application. Our approach for photograph categorization is based on linear text classifiers and Web mining programs, specially selected due to their suitability for industrial applications. The evaluation of our categorization system has shown that it meets the efficiency and effectiveness requirements of the e-commerce appli- cation.
Year
Venue
Keywords
2001
NDDL
news agency e-commerce application,user-adapted searching,categorizing photographs,web mining,e commerce
Field
DocType
ISBN
Data science,World Wide Web,Computer science,E-commerce
Conference
972-98050-4-0
Citations 
PageRank 
References 
0
0.34
14
Authors
5
Name
Order
Citations
PageRank
José María Gómez Hidalgo122524.70
Raúl Murciano Quejido200.34
Alberto Díaz Esteban3134.57
Manuel De Buenaga Rodríguez46716.59
Enrique Puertas Sanz517516.60