A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
Using web structure for classifying and describing web pages
Proceedings of the 11th international conference on World Wide Web
Web classification using support vector machine
Proceedings of the 4th international workshop on Web information and data management
Text categorization based on k-nearest neighbor approach for web site classification
Information Processing and Management: an International Journal
Modeling the Clickstream: Implications for Web-Based Advertising Efforts
Marketing Science
Impedance coupling in content-targeted advertising
Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval
Support vector machines classification with a very large-scale taxonomy
ACM SIGKDD Explorations Newsletter - Natural language processing and text mining
The SMART Retrieval System—Experiments in Automatic Document Processing
The SMART Retrieval System—Experiments in Automatic Document Processing
Finding advertising keywords on web pages
Proceedings of the 15th international conference on World Wide Web
A comparison of implicit and explicit links for web page classification
Proceedings of the 15th international conference on World Wide Web
SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
A semantic approach to contextual advertising
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Deep classification in large-scale text hierarchies
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Classifiers without borders: incorporating fielded text from neighboring web pages
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Introduction to Information Retrieval
Introduction to Information Retrieval
Web page classification: Features and algorithms
ACM Computing Surveys (CSUR)
Importance of HTML structural elements and metadata in automated subject classification
ECDL'05 Proceedings of the 9th European conference on Research and Advanced Technology for Digital Libraries
Improving contextual advertising by adopting collaborative filtering
ACM Transactions on the Web (TWEB)
Semantic contextual advertising based on the open directory project
ACM Transactions on the Web (TWEB)
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Contextual advertising seeks to place relevant ads to generic web pages based on their contents. Recently, it has been observed that classifying web pages into a well-organized taxonomy of topics is promising for matching topically relevant ads to web pages. Following the observation, in this paper we propose two methods to increase classification accuracy for web pages in the context of contextual advertising. Our strategy is to enhance the baseline classifier by reflecting unique features of web pages and the taxonomy. In particular, category tags extracted from web pages are utilized to augment term weights, and the hierarchical structure of the taxonomy is taken into account to categorize web pages with high confidence. We conduct a series of experiments to evaluate the proposed methods, and the results show that classification accuracy is increased up to 11% compared to the baseline classifier.