The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
It is important for Web search engine providers to study user behaviour in order to have a better understanding of how customers interact with search engines so that they can improve users' overall search experience. However, user behaviour in a search engine is complicated and affected by various factors, e.g. query length, intention/context/time when queries are submitted, etc. It is interesting...
Telecommunication and Internet services are constantly subject to changes, seeking the customers full satisfaction. Enriching these services with innovative approaches such as context-aware, social, mobile, adaptable and interactive mechanisms, enables users to experience a variety of personalized services seamlessly across different platforms and technologies. In this sense, it is expected that next...
Web sequential pattern mining is an important way to learn the access behavior of Web users. In this paper, we present an efficient method of Web sequential pattern mining in the e-learning environment. Different from traditional mining methods, we categorize the user sessions into human user sessions, crawler sessions and resource-download user sessions. Then we filter out the non-human user sessions,...
As a newly emergent interpersonal communication media, social network site has been attracting researchers' attention world wide. Aiming at disclosing user characters and interpersonal communication pattern, an empirical study based on xiaonei.com is conducted. User's profile data of a typical university has been crawled based on which four types of interaction are identified. Then, these types are...
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.