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.
Recent years, context has been identified as an important factor in recommender systems. Great contributions have been done for context-aware collaborative filtering recommendation approaches, but the contextual parameters in current approaches have same weights for all users. In the paper a recommendation approach based on BP neural network is proposed to learn a personal context-aware rating prediction...
The following topics are dealt with: Web services; collaborative filtering; QoS-aware services composition; context-aware service discovery; service security and trust; and context-aware middleware.
Although the conventional ubiquitous home service provides services using the information of environments obtained by the analysis of sensors, it shows a lack of user information. If recommendation services are able to use the past item selection information related to the context information of users, individualized services would be achieved. Also, it is possible to solve a specialization tendency...
Seamlessly integrating services in a heterogeneous environment is a hot topic in pervasive computing. Given information explosion, it is wise to provide users services of recommending personalized information, although recommendation quality in a P2P network usually can not be compared with that in a centralized environment. In this paper, we introduce a music collaborative filtering system combining...
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.