Improving Ranking Web Documents using User's Feedbacks
Fatemeh Ehsanifar, Hasan Naderi · 2014
Nowadays, World Wide Web has been utilized as the best environment for development, distribution and achieving knowledge. The most significant tool for achieving to this infinite ocean of information involves variety of Search Engines, in which ranking is one of the main parts. Regarding problems based on text and link, some methods have been considered according to user’s behavior in web. User’s behavior includes valuable information which can be used for improving quality of web ranking results. In this research a model has been offered in which for each definite query, user’s positive and negative feedbacks about displayed list in web pages have been received, including how many times user has accessed to a certain site, time spent in a site, number of successful downloads in a site, number of positive and negative clicks in a site, then it calculates the ranking of each page using Multiple Attribute Decision Making method, and eventually presents a new ranking about the site which could be updated regularly according to the next feedbacks from users.