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.
community. Interest communities will reorganize as any user's interest has changed. Simulation results show this model has higher search efficiency and lower search cost compared with traditional keyword search algorithm.
Web 2.0 provides functionality of social content based on data generated by users. Users spend their time by browsing content and look for interesting contents using keyword search. Those contents are posted and shared for their interesting tastes by like-minded people. New and popular contents, keywords, or
In this paper, we propose CYBER, a CommunitY Based sEaRch engine, for information retrieval utilizing community feedback information in a DHT network. In CYBER, each user is associated with a set of user profiles that capture his/her interests. Likewise, a document is associated with a set of profiles-one for each indexed term. A document profile is updated by users who query on the term and consider...
based social network. We propose an efficient mobile social network to facilitate contents sharing over mobile ad hoc networks, in which social communities are built based on the interesting keywords, location histories and the current locations of different users. The users with common interest keywords, similar location
graph which is composed of resources and keywords. The data is extracted from the analysis of users' search and download behavior. Experiment shows that this method is effective in discovering resource communities and improving the efficiency of resource retrieval.
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.