Abstract
A large and growing number of web pages display contextual advertising based on keywords automatically extracted from the text of the page, and it has been become a rapidly growing business in recent years. We describe a system that learns how to extract keywords from web pages for advertisement targeting. Firstly a text network for a single webpage is build, then PageRank is applied in the network to decide on the importance of a word, finally top-ranked words are selected as keywords of the webpage. The algorithm is tested on the corpus of blog pages, and the experiment result proves practical and effective.
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Liu, J., Wang, C., Liu, Z., Yao, W. (2010). Advertising Keywords Extraction from Web Pages. In: Wang, F.L., Gong, Z., Luo, X., Lei, J. (eds) Web Information Systems and Mining. WISM 2010. Lecture Notes in Computer Science, vol 6318. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16515-3_42
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DOI: https://doi.org/10.1007/978-3-642-16515-3_42
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