In the past years, the information was kept on the physical medium and people struggle more to get the right information. Everyone tries to search the information in a smart way using different scenarios. With the passage of time as computer became the essential part of daily life and the search engines came into action. When we talk about the search engines, they are also the part of Information Technology (IT) revolution to find the material or information in a simple and easy way in less time span. These search engine help in finding the information instead of the physical media quickly. By the never ending efforts of the researchers, the information which was available only in physical medium or from other resources has been transferred to a single platform using IT artifacts. Now, the efficient accessibility of this information is an issue. There are a number of e-services available on the computer network around the globe from where the users can get the information according to their needs, but some time these e-services do not provide user demanded results because of the improper implementation of IT artifacts.Our research is focused on the e-Me project i.e. a comprehensive knowledge based Electronic Assistant platform given by Innovation Lab. This project has a number of good e-services to assist the user electronically in course schedules, record of books, planning transportation, course program progress and number of other tasks at one place. This project is also used to co-design approach to initiate the users as a stakeholder. The users create a profile according to the services of the e-Me project and the users can search these services according to their needs. Our research is to provide an efficient smart filter to search information about services according to users needs. We studied the IT Artifacts and adopt the new research methodology called ―Action Design Research‖. This research is specifically adopted by researchers for the IT based system. In our research we cover the core IT Artifacts i.e. human computer interaction, user centered design, interaction design principles. These artifacts are further verified by the documents in the form of interviews and observation. The results were achieved by taken interviews from three interviewers having expertise in IT fields and they are also aware about the users‘ perception. At the end of this research we came up with the design prototype of the smart filter. / Program: Magisterutbildning i informatik

<p>This study has been carried out in cooperation with Unilever and partly with the EC founded project, Smartdoc IST-2000-28137. </p><p>In areas of statistics and image processing, both the amount of data and the dimensions are increasing rapidly and an interactive visualization tool that lets the user perform real-time analysis can save valuable time. Real-time cropping and drill-down considerably facilitate the analysis process and yield more accurate decisions. </p><p>In the Smartdoc project, there has been a request for a component used for smart filtering in multidimensional data sets. As the Smartdoc project aims to develop smart, interactive components to be used on low-end systems, the implementation of the self-organizing map algorithm proposes which dimensions to visualize. </p><p>Together with Dr. Robert Treloar at Unilever, the SOM Visualizer - an application for interactive visualization and analysis of multidimensional data - has been developed. The analytical part of the application is based on Kohonen’s self-organizing map algorithm. In cooperation with the Smartdoc project, a component has been developed that is used for smart filtering in multidimensional data sets. Microsoft Visual Basic and components from the graphics library AVS OpenViz are used as development tools.</p>

This study has been carried out in cooperation with Unilever and partly with the EC founded project, Smartdoc IST-2000-28137. In areas of statistics and image processing, both the amount of data and the dimensions are increasing rapidly and an interactive visualization tool that lets the user perform real-time analysis can save valuable time. Real-time cropping and drill-down considerably facilitate the analysis process and yield more accurate decisions. In the Smartdoc project, there has been a request for a component used for smart filtering in multidimensional data sets. As the Smartdoc project aims to develop smart, interactive components to be used on low-end systems, the implementation of the self-organizing map algorithm proposes which dimensions to visualize. Together with Dr. Robert Treloar at Unilever, the SOM Visualizer - an application for interactive visualization and analysis of multidimensional data - has been developed. The analytical part of the application is based on Kohonen’s self-organizing map algorithm. In cooperation with the Smartdoc project, a component has been developed that is used for smart filtering in multidimensional data sets. Microsoft Visual Basic and components from the graphics library AVS OpenViz are used as development tools.