GM-RKB: Record Distance Function

A Record Distance Function is a Similarity Function that can compare the similarity between two or more Data Records.

AKA: Data Record Distance Function, Data Record Similarity Function, Record Similarity Function
Context:
- It can be a Learned Distance Function.
See: Clustering.

References

2005

(Bilenko & al, 2005) => Mikhail Bilenko, Sugato Basu, and Mehran Sahami. (2005). "Adaptive Product Normalization: Using Online Learning for Record Linkage in Comparison Shopping." In: Proceedings of the 5th IEEE International Conference on Data Mining (ICDM-2005).

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