A Method for Predicting Online Customer’s Product Knowledge
碩士 === 朝陽科技大學 === 資訊管理系碩士班 === 92 === A powerful online recommendation system in Electronic Commerce (EC) must know its target customers well and employ effective marketing strategies. Market research is a very important way to know the customers well. For high-tech products with great variety such...
Main Authors: | Ru-hui Huang, 黃如慧 |
---|---|
Other Authors: | Jeang-Kuo Chen |
Format: | Others |
Language: | zh-TW |
Published: |
2004
|
Online Access: | http://ndltd.ncl.edu.tw/handle/5scvq2 |
Similar Items
-
Online customer behavior prediction
by: Ghafoorzadeh Nobar, Danesh
Published: (2013) -
The Antecedents and Consequences of Customer Loyalty in Financial Services Industry-Online Model and Offline Model
by: Hui-Ju Chen, et al.
Published: (2008) -
The Study on the Effect of Customers' Product Knowledge and Online Shopping Experience on Browser Behavior.
by: Yi-Ting Chiang, et al.
Published: (2008) -
Predicting the Helpfulness of Online Customer Reviews across Different Product Types
by: Yoon-Joo Park
Published: (2018-05-01) -
The Research on Influential Factors of Customer Purchase Tea Products Online in Taiwan
by: HUANG, JO-NING, et al.
Published: (2018)