Technologies for context-awareness Sample Clauses

Technologies for context-awareness. The technologies used for context-aware recommendations depend on the technologies used for the final platform as we will rely on interaction and history data. The following summarizes technologies that can be used und reviewed during the project: ● MyLyn29/Eclipse Usage Data Collector30. An interesting data source for context-aware recommendations is interaction data. Interaction data describes the usage by tracing the events happening in the system (e.g., the user clicks in a UI element, the systems receives a notification). MyLyn and Eclipse are examples of existing tools which can be instrumented to collect interaction data, in this case, in the Eclipse Integrated Development Environment. Data gathered from these tools can help to understand how a system is used and on what tasks a user is performing. Recommendations, based on such context data, can be given, for example, to optimize a task (e.g., complete a task with fewer clicks).
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