Product Classification Integration for E-Commerce
DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
A Modeling Approach for Product Classification Systems
DEXA '02 Proceedings of the 13th International Workshop on Database and Expert Systems Applications
Graph-based text classification: learn from your neighbors
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
ICEC '06 Proceedings of the 8th international conference on Electronic commerce: The new e-commerce: innovations for conquering current barriers, obstacles and limitations to conducting successful business on the internet
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Exploiting structural information for semi-structured document categorization
Information Processing and Management: an International Journal
A service-oriented analysis of online product classification methods
Decision Support Systems
Modified naïve bayes classifier for e-catalog classification
DEECS'06 Proceedings of the Second international conference on Data Engineering Issues in E-Commerce and Services
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This work describes a system for analyzing e-commerce markets, by tracking the consumers' habits in a set of webstores. In order to retrieve the types of products that are mostly purchased or viewed by a sample of consumers, we extract product titles displayed at the pages browsed by the monitored sample. Then, the collected titles are used as input to an automatic classification process that aims to assign each product to a suitable category and brand. We introduce a graph-based classifier that explores the relation between the categories and brands to be determined and is built from a supervised training set. We will show that the classifier was able to obtain good results, improving a Bayesian technique and allowing a further analysis of the considered market.