Overview of the UM Shell Systems and UM sharing Michal Barla PeWe FIIT STU BA

Overview of the UM Shell Systems and UM sharing 2 History of UM Shell Systems 1978 – Perrault, Cohen, Allen –UM performed by application systems –UM components mixed with other components for other tasks 1986 – Tim Finnin: GUMS (General UM System) –allows the definition of simple stereotype hierarchies –at runtime, GUMS accepts and stores Prolog facts about the user

Overview of the UM Shell Systems and UM sharing 3 Academic Development BGP-MS (Kobsa, Pohl, 1995) –network server, multi-user, multi-application TAGUS (Paiva, Self, 1995) –diagnosis of unexpected user behavior (simulation of the user) –truth maintenance system um toolkit (Kay, 1995) –attribute – value pairs –evidence of truth and falsehood –source of evidence, timestamp

Overview of the UM Shell Systems and UM sharing 4 Services of UM Shell Systems Representation of assumptions about one or more types of user characteristics Representation of relevant common characteristics of users pertaining to the specific user subgroup (stereotype) Classification of users as belonging to one or more subgroup – integration of subgroup characteristics into the individual user model

Overview of the UM Shell Systems and UM sharing 5 Services of UM Shell Systems (cont.) Formation of assumptions about the user based on the interaction history Consistency maintenance in the user model

Overview of the UM Shell Systems and UM sharing 6 Requirements for UM Shell Systems Generality –as many applications as possible –as many services as possible Expressiveness –uncertainty, vagueness of assumptions Strong Inferential Capabilities

Overview of the UM Shell Systems and UM sharing 7 Commercial sector Motivation: –target ad banners, sales promotions, product news –one-to-one marketing instead of mass marketing Group Lens –collaborative filtering algorithms based on rating provided by user and data derived from navigation Frontmind –Bayesian network for modeling users

Overview of the UM Shell Systems and UM sharing 8 Services of commercial UM servers Comparisons of different users’ selective actions –predict user’s future selective actions based on those of the most similar other users Import of external user-related information –integration of existing systems Privacy support

Overview of the UM Shell Systems and UM sharing 9 UM Sharing Commercial sector brings the strong motivation for UM sharing UM Systems are not functionally integrated into the application –client-server architecture Information acquired by one application can be employed by other and vice versa Information is stored in non-redundant manner

Overview of the UM Shell Systems and UM sharing 10 Judy Kay: Personis

Overview of the UM Shell Systems and UM sharing 11 Jaroslav Kuruc

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