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http://dx.doi.org/10.9708/jksci/2012.17.9.017

A WordNet-based Open Market Category Search System for Efficient Goods Registration  

Hong, Myung-Duk (Dept. of Computer and Information Engineering, Inha University)
Kim, Jang-Woo (Dept. of Computer and Information Engineering, Inha University)
Jo, Geun-Sik (Dept. of Computer and Information Engineering, Inha University)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.9, 2012 , pp. 17-27 More about this Journal
Abstract
Open Market is one of the key factors to accelerate the profit. Usually retailers sell items in several Open Market. One of the challenges for retailers is to assign categories of items with different classification systems. In this research, we propose an item category recommendation method to support appropriate products category registration. Our recommendations are based on semantic relation between existing and any other Open Market categorization. In order to analyze correlations of categories, we use Morpheme analysis, Korean Wiki Dictionary, WordNet and Google Translation API. Our proposed method recommends a category, which is most similar to a guide word by measuring semantic similarity. The experimental results show that, our system improves the system accuracy in term of search category, and retailers can easily select the appropriate categories from our proposed method.
Keywords
e-Commerce; Open market; Category search system; WordNet;
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