Web Page Advertisement Classification

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Provided by: International Journal of Computer and Electrical Engineering (IJCEE)
Topic: Big Data
Format: PDF
In this paper, the authors present an automatic genre-based web page classification system for determining whether a web page contains an advertisement or not. Due to the difficulties and subjectivities in defining a genre, its features and their categorization, genre based classification is still rudimentary. In this paper, they identified key features and used those features to define the advertisement category. They then developed a genre-based classification system to automatically classify a web page into advertisement category, which is important for commerce and for web users who prefer to either view or skip advertisements.
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