Architecture for integrating product information and user review on Web 2.0
- Authors
- Bae, S.; Han, K.H.; Choi, S.H.; Park, J.
- Issue Date
- 2012
- Keywords
- Product information; RFID; User review; Web 2.0
- Citation
- International Journal of Mathematical Models and Methods in Applied Sciences, v.6, no.2, pp 223 - 230
- Pages
- 8
- Indexed
- SCOPUS
- Journal Title
- International Journal of Mathematical Models and Methods in Applied Sciences
- Volume
- 6
- Number
- 2
- Start Page
- 223
- End Page
- 230
- URI
- https://scholarworks.gnu.ac.kr/handle/sw.gnu/23271
- ISSN
- 1998-0140
- Abstract
- In offline markets, consumers' purchase decisions are heavily influenced by word-of-mouth. With the rapid growth of the Internet these conversations have migrated in online markets, creating active electronic communities that provide a wealth of product information. Today, customers compare the price of a product and find reviews of the product on the Internet using the smart devices. However, the information what customers want to know is not integrated and customers spend time to search proper information. This paper classifies the information into two categories - product information and user review. The product information is mainly provided by manufacturers and suppliers such as product name, specification, and price. The BOM of the product is also displayed for power users. And the detail information of parts should be provided using web services. The user review is created by other buyers who already bought and used the product. Customers share the experiences with others on the Web. User review is dynamic and can be gathered from web portals or web search engines. This paper proposes an integrated architecture for the manufacturer's product information and the customer review on the web. It is composed of RFID system, web retrieving system and product information retriever. A prototype is also developed to demonstrate the feasibility of the proposed architecture.
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Collections - 공과대학 > Department of Industrial and Systems Engineering > Journal Articles

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