Scalable entity resolution for Web product descriptions

摘要

Consumers are increasingly using the Web to find product information and make online purchases. This is reflected by the ongoing growth of worldwide e-commerce sales figures. Entity resolution is an important task that supports many services that have arisen from this growth, such as Web shop aggregators. In this paper, we propose a scalable framework for multi-source entity resolution. Our blocking approach employs model words to produce blocks that make our solution highly effective and efficient for the considered domains. An in-depth evaluation, performed using millions of experiments and three large datasets (on consumer electronics and software products), shows that our model words-based approach outperforms other approaches in most cases. Furthermore, we also evaluate our approach with an imperfect similarity function and find that model words-based blocking schemes provide the best blocks with respect to the F-1-measure.