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. C4.5 algorithm is adopted to analyze the main factor infecting the competition result of keywords and predict their competition from historical SEO data. A website editing system is authored in which backward spider and text extraction technology is utilized to collect information. In this case, real-time SEO factor
Nowadays the existing search engines are always lack of the consideration of personalization. They display the same search results for different users despite their differences in interesting and purpose. In order to solve this problem, this paper introduces a new method of using keyword query series to express the
visualize the lattice structure of web pages and keywords as line diagram. This system is implemented on the computer (CPU=2.83GHz! $MM=2GB), by using Python, which is an object-oriented programming language, Application Program Interface (API), and one of the GUI libraries, Tkinter. Through the subjective evaluation and sign
With the development of Internet, network has become a important platform for information publishment and communications. However, there are tremendous resources in the network, thus it's very difficult for users to find the wanted resources. Search engine can help them find the related information. When users input
information just searching search engine like Google and Baidu with keywords and browseWeb pages selecting useful information, people want to get interested knowledge continuously through pushing technology. Recommendation is of great significance in knowledge discovery. Recommender systems typically produce a list of
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.