Proximity Measure of Information Object Features for Solving the Problem of Their Identification in Information Systems

1. 1Develop a quantitative-qualitative proximity measure to account for differences in feature values
2. 2Apply the measure to information objects with features from multiple independent sources
3. 3Evaluate the effectiveness of the measure in identifying related physical objects

Data scientists and AI engineers can benefit from this research to improve the accuracy of information object identification in complex systems, and product managers can apply this to develop more robust information systems

💡 The proposed measure can handle both quantitative and qualitative differences in feature values

💡 New proximity measure for info object identification in multi-source systems