Advertising Keywords Extraction from Web Pages

Jianyi Liu, Cong Wang, Zhengyang Liu, Wenbin Yao

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.