A statistical learning learning model of text classification for support vector machines
Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Web classification using support vector machine
Proceedings of the 4th international workshop on Web information and data management
Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
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Current search engines predictably return the same results for a given query, regardless of the user. However, different users often desire different information from searches made with identical keywords. The Web Host Access Tool (WHAT) project is an attempt to personalize Internet searching. Personalization is achieved through the use of a search context that is constructed through machine learning techniques.