WYLBUR, an interactive computer-based text-editor for the IBM 360/65, has been utilized as a chemical/biological information-handling system. Its applicability is illustrated with chemical and biological data on the 3-benzazocines (6,7benzomorphans), a class of strong analgetics in which a separation of analgetic activity and physical dependence liability has been achieved in animal species.By providing an open-ended, completely user-defined format, a simple means to match character strings and retrieve data records, and a convenient entree to the batch computation stream, WYLBUR appears to be a relatively inexpensive and useful data management tool to study chemical compounds and their biological effects.
In this paper we will report the work currently being doing one the Gugubarra project. The project aims at building tools for better management of communities of Web visitors.
Visitors on a website are usually on their own when they are moving around. First time visitors are especially guessing where to find the information they are looking for. In this paper we will show a way to combine the concepts of non-obvious profiles and ant-algorithms to come up with a set of paths, which tries to cover the user's interests in a proper way. These paths can be used to give recommendations to visitors. While the profiles help to get a better understanding of the users' interests, the concept of ant-algorithms is employed to determine recently and frequently used paths to lead the user to the desired information. We explain the basic idea of our approach, the current state of the prototype realized and some first results.
Web search engines often include results for a query which are not really relevant for a user. SEREBIF is an approach for incorporating feeback from the users into the search engine results to increase the result quality. We especially focus on implicit feedback, which does not require the users to put any additional effort than usual into the search process. The captured information (e.g. entered queries, clicked results) is afterwards analyzed, and the results are then taken into account for further search sessions. SEREBIF can generally be used on top of an existing search engine to improve its results. In this paper, we explain the basic idea of SEREBIF, the current state of the prototype we realized and first results.
Our belief is that conviviality is a concept of great depth that plays an important role in any social interaction. A convivial relation between individuals is one that allows participating individuals to behave and interact with each other following a set of conventions either shared, commonly agreed upon or at least understood. This presupposes implicit or an explicit regulation mechanism based on consensus or social contracts and applies to the behaviours and interactions of participating individuals. With respect to web-based systems, an applicable social attribute is to assist another user, to help him/her in situations that are unclear and to recommend him in finding the right decision whenever a conflict arises. Such a convivial social biotope deeply depends on both implicit and explicit cooperation and collaboration of natural users inside a community. An individual conviviality may benefit from the "wisdom of the crowd", which means that a dynamic understanding of the user's behaviours heavily influences the individual well being of another person(s). To achieve that, we present the system CUBA and target at user profiling while making a stay convivial through recommendations.
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