Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4956587 | Journal of Systems and Software | 2017 | 65 Pages |
Abstract
We evaluate our proposal against numerous categories of products mined from BestBuy. Our empirical results show that the synthesized PCMs exhibit numerous quantitative, comparable information that can potentially complement or even refine technical descriptions of products. The user study shows that our automatic approach is capable of extracting a significant portion of correct features and correct values. This approach has been implemented in MatrixMiner a web environment with an interactive support for automatically synthesizing PCMs from informal product descriptions. MatrixMiner also maintains traceability with the original descriptions and the technical specifications for further refinement or maintenance by users.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Networks and Communications
Authors
Sana Ben Nasr, Guillaume Bécan, Mathieu Acher, João Bosco Ferreira Filho, Nicolas Sannier, Benoit Baudry, Jean-Marc Davril,