کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
509342 865509 2008 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Recommendation of e-commerce sites by matching category-based buyer query and product e-catalogs
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
پیش نمایش صفحه اول مقاله
Recommendation of e-commerce sites by matching category-based buyer query and product e-catalogs
چکیده انگلیسی

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.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Industry - Volume 59, Issue 4, April 2008, Pages 380–394
نویسندگان
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