TL;DR: In this article, a system and methods are provided that enable searches of social networks by acting as a "compass" that assists users in navigating the social network, and individual user participation is not required in response to queries from other users.
Abstract: Systems and methods are provided that enable searches of social networks by acting as a “compass” that assists users in navigating the social network. Individual user participation is not required in response to queries from other users. The systems and methods offer navigational assistance or information as opposed to a traditional search which returns requested information, thus currently acceptable social mechanisms for arbitrating trust can be exploited. As a result, users do not make their personal information publicly searchable, while at the same time, they are protected from potential misrepresentations of facts.
TL;DR: The authors examined analyst information intermediary roles using a textual analysis of analyst reports and corporate disclosures, using a topic modeling methodology from computational linguisti... and employed a topic model to model the relationship between analysts and their intermediary roles.
Abstract: This study examines analyst information intermediary roles using a textual analysis of analyst reports and corporate disclosures. We employ a topic modeling methodology from computational linguisti...
TL;DR: The feedback from the user trial, comprising survey results, log file analysis and informal communica-tions, is quite positive and suggests several promising en-hancements to the service.
Abstract: We describe a social bookmarking service de-signed for a large enterprise. We discuss design principles addressing online identity, privacy, information discovery (including search and pivot browsing), and service extensi-bility based on a web-friendly architectural style. In addi-tion we describe the key design features of our implementa-tion. We provide the results of an eight week field trial of this enterprise social bookmarking service, including a de-scription of user activities, based on log file analysis. We share the results of a user survey focused on the benefits of the service. The feedback from the user trial, comprising survey results, log file analysis and informal communica-tions, is quite positive and suggests several promising en-hancements to the service. Finally, we discuss potential extension and integration of social bookmarking services with other corporate collaborative applications.
TL;DR: This study analyzes co-evolution model of information-filtering agents that adapt to the various user's interests, and information discovery agents that monitor and adapt toThe various on-line information sources.
Abstract: Agents are semi-intelligent programs that assist the user in performing repetitive and timeconsuming tasks. Information discovery and information filtering are suitable domains for applying agent technology. Ideas drawn from the field of autonomous agents and artificial life are combined in the creation of an evolving ecosystem composed of competing and cooperating agents. This study analyzes co-evolution model of information-filtering agents that adapt to the various user's interests, and information discovery agents that monitor and adapt to the various on-line information sources. Results from a number of experiments are presented and discussed.