@inproceedings{bae80e13aee147baadd5e8dd5ebd544b,
title = "EPEMS: An entity matching system for E-commerce products",
abstract = "Entity Matching is used to identify records representing the same entities in the real world. As e-commerce is developing rapidly, online products grow explosively in both amount and variety. Applying entity matching to e-commerce data and finding records representing the same products make customers convenient to compare prices. This paper proposes an entity matching system for e-commerce data, called EPEMS. Compared with existing systems, we improve an existing sorted neighborhood blocking method, which is used to reduce the number of comparisons. At the same time the similarity of product pictures is used to improve matching results.",
keywords = "Blocking, E-commerce Data, Entity matching, Picture similarity",
author = "Lei Gao and Pengpeng Zhao and Sheng, {Victor S.} and Zhixu Li and An Liu and Jian Wu and Zhiming Cui",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2015.; 17th Asia-PacificWeb Conference, APWeb 2015 ; Conference date: 18-09-2015 Through 20-09-2015",
year = "2015",
doi = "10.1007/978-3-319-25255-1_74",
language = "English",
isbn = "9783319252544",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "871--874",
editor = "Reynold Cheng and Bin Cui and Zhenjie Zhang and Ruichu Cai and Jia Xu",
booktitle = "Web Technologies and Applications - 17th Asia-PacificWeb Conference,APWeb 2015, Proceedings",
}