Abstract
In this paper, an e-commerce site recommendation system that integrates multiple e-commerce sites is proposed. This system provides the users with a unified portal through which the users can search individual suppliers' product categories efficiently. The core part of the system is an intelligent product meta-search engine that has the following functions: (1) it provides category-based query, with which a buyer can describe his or her product search intention using superclass/subclass relationship, (2) by using WordNet, the buyer's query is semantically extended in order to increase product search accuracy, and (3) the meta-search engine decides a recommended priority of the suppliers by matching the buyer's query with the suppliers' product categories and computing a semantic relevancy measure. Experiments show that the performance of the meta-search is better than those of general keyword-based search and category-based search.
| Original language | English |
|---|---|
| Pages (from-to) | 380-394 |
| Number of pages | 15 |
| Journal | Computers in Industry |
| Volume | 59 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 2008 Apr 1 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Engineering(all)
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Recommendation of e-commerce sites by matching category-based buyer query and product e-catalogs. / Kwon, Ick Hyun; Kim, Chang Ouk; Kim, Kyung Pil; Kwak, Choonjong.
In: Computers in Industry, Vol. 59, No. 4, 01.04.2008, p. 380-394.Research output: Contribution to journal › Article
TY - JOUR
T1 - Recommendation of e-commerce sites by matching category-based buyer query and product e-catalogs
AU - Kwon, Ick Hyun
AU - Kim, Chang Ouk
AU - Kim, Kyung Pil
AU - Kwak, Choonjong
PY - 2008/4/1
Y1 - 2008/4/1
N2 - In this paper, an e-commerce site recommendation system that integrates multiple e-commerce sites is proposed. This system provides the users with a unified portal through which the users can search individual suppliers' product categories efficiently. The core part of the system is an intelligent product meta-search engine that has the following functions: (1) it provides category-based query, with which a buyer can describe his or her product search intention using superclass/subclass relationship, (2) by using WordNet, the buyer's query is semantically extended in order to increase product search accuracy, and (3) the meta-search engine decides a recommended priority of the suppliers by matching the buyer's query with the suppliers' product categories and computing a semantic relevancy measure. Experiments show that the performance of the meta-search is better than those of general keyword-based search and category-based search.
AB - In this paper, an e-commerce site recommendation system that integrates multiple e-commerce sites is proposed. This system provides the users with a unified portal through which the users can search individual suppliers' product categories efficiently. The core part of the system is an intelligent product meta-search engine that has the following functions: (1) it provides category-based query, with which a buyer can describe his or her product search intention using superclass/subclass relationship, (2) by using WordNet, the buyer's query is semantically extended in order to increase product search accuracy, and (3) the meta-search engine decides a recommended priority of the suppliers by matching the buyer's query with the suppliers' product categories and computing a semantic relevancy measure. Experiments show that the performance of the meta-search is better than those of general keyword-based search and category-based search.
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UR - http://www.scopus.com/inward/citedby.url?scp=39749112018&partnerID=8YFLogxK
U2 - 10.1016/j.compind.2007.10.002
DO - 10.1016/j.compind.2007.10.002
M3 - Article
VL - 59
SP - 380
EP - 394
JO - Computers in Industry
JF - Computers in Industry
SN - 0166-3615
IS - 4
ER -