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On the Investigation of Similarity Measures for Product Resolution

Entity resolution is an important information integration problem that has been looked at by a number of research communities. Resolution of a specific type of entity, products, however, is a largely unexplored area. This work sets out a series of first steps in that direction. We devise similarity measures for comparing products based on specific attributes. To estimate the discriminative power of these similarity functions we introduce a metric termed pairwise discriminative power. We report on experimental results using two purpose-built test sets, corresponding to two very different e-commerce segments: electronics and toys.