Combining and analyzing data collected at multiple administrative locations is critical for a wide variety of applications, such as detecting malicious attacks or computing an accurate estimate of the popularity of Web sites. However, legitimate concerns about privacy often inhibit participation in collaborative data aggregation. In this paper, we design, implement, and evaluate a practical sol...

In this paper, we describe a multiagent framework for collaborative conceptual earning using a Dempster-Shafer belief system in the domain of information retrieval. In our multiagent system, each agent maintains a database of documents, entertains different queries from its users, and thus learns a unique dictionary of concepts. Filed for each concept is a set of keywords collected from the doc...

In this work, an approach focused on locating and recommending health care centers within a certain range of distance is presented. The proposed approach includes several integration technologies such as location services, mobile devices, social networks, ontologies, and historical statistics about vehicular traffic. KeywoRDS Collaborative Recommender System, Health Services, Location Technique...

research on pre-task planning has revealed that planned conditions have produced more fluent and complex language than unplanned conditions. to date, most of these studies have investigated the effects of individual planning on language production while collaborative planning has received scant attention. to determine the effects of pre-task planning on second language written production, the p...