A New Approach To Focused Crawling: Combination of Text summarizing With Neural Networks and vector space model

Focused crawlers are programs designed to browse the Web and download pages on a specific topic. They are used for answering user queries or for building digital libraries on a topic specified by the user. In this article we will show how summarizing of web pages is needed for improving performance of a crawler which uses vector space model to rank the web pages. A neural network is trained to learn the relevant characteristics of sentences that should be included in the summary of a web page. Then the neural network will be used as a filter to summarize web pages. Finally, the crawler will use vector space model to rank summaries instead of web pages

کلیدواژه ها:

Focused Crawlers ، Search Engine ، Neural Network ، Vector Space Mode ، Text summarizing