Intelligent information sharing systems

"December, 1986." "A slightly revised version of this paper will appear in Communications of the ACM."Includes bibliographical references (p. 31-33).Supported in part by the National Science Foundation. SES-8213169Thomas W. Malone ... [et al.]

Focussed palmtop information access combining starfield displays and profile-based recommendations

This paper presents two palmtop applications: Taeneb CityGuide and Taeneb ConferenceGuide. Both applications are centred around Starfield displays on palmtop computers - this provides fast, dynamic access to information on a small platform. The paper describes the applications focussing on this novel palmtop information access method and on the user-profiling aspect of the CityGuide, where restaurants are recommended to users based on both the match of restaurant type to the users' observed previous interactions and the rating given by reviewers with similar observed preferences

Toward intelligent message routing systems

"August 1985."Bibliography: p. 12.Thomas W. Malone ... [et al.]

Diversité de recommandations : application à une plateforme de blogs et évaluation

International audienceLes systèmes de recommandations (SR) ont pour objectif de proposer automatiquement à l'usager des objets en relation avec ses intérêts. Dans le contexte de la recherche documentaire, les intérêts de l'usager peuvent être modélisés à partir des contenus des documents visités ou des actions réalisées. Pour tendre vers des recommandations plus pertinentes, nous proposons un modèle de SR qui construit une liste de recommandations répondant à un large spectre d'intérêts potentiels. L'orignialité de notre modèle est qu'il repose sur la notion de diversité, obtenue en agrégeant différentes mesures d'intérêt pour construire la liste de recommandations finale. Nous définissons également un protocole permettant d'évaluer l'intérêt de ces recommandations. Nous présentons enfin les résultats obtenus par notre SR basé sur la diversité dans le cadre de la recommandation de billets de blogs

Dynamic Web Content Filtering Based on User's Knowledge

This paper focuses on the development of a maintainable information filtering system. The simple and efficient solution to this problem is to block the Web sites by URL, including IP address. However, it is not efficient for unknown Web sites and it is difficult to obtain complete block list. Content based filtering is suggested to overcome this problem as an additional strategy of URL filtering. The manual rule based method is widely applied in current content filtering systems, but they overlook the knowledge acquisition bottleneck problems. To solve this problem, we employed the Multiple Classification Ripple-Down Rules (MCRDR) knowledge acquisition method, which allows the domain expert to maintain the knowledge base without the help of knowledge engineers. Throughout this study, we will prove the MCRDR based information filtering system can easily prevent unknown Web information from being delivered and easily maintain the knowledge base for the filtering system