Study of Basic Concept for Commercial Product Recommendation System in e-Commerce
碩士 === 國立成功大學 === 製造資訊與系統研究所 === 102 === Recommender System is implementing in so many e-commerce websites like Amazon and Taobao which are the most famous C2C websites all over the world, and the main algorithm they used is Collaborative Filtering (CF), which could realize the recommender system qu...
Main Authors: | Yi-LingChen, 陳奕伶 |
---|---|
Other Authors: | Shang-Liang Chen |
Format: | Others |
Language: | zh-TW |
Published: |
2014
|
Online Access: | http://ndltd.ncl.edu.tw/handle/mwy7zc |
Similar Items
-
Consumer Preferences for the Interface of E-Commerce Product Recommendation System
by: Yang, Ya-Chi, et al.
Published: (2011) -
Research on the Reporting Quality of Reverse Merger Companies
by: Yi-LingChen, et al.
Published: (2012) -
Product Recommendations in E-Commerce Retailing Applications
by: Knotzer, Nicolas
Published: (2018) -
Product Recommendations in E-Commerce Retailing Applications
Published: (2018) -
Taiwan E-Commerce Recommender Application
by: Fu-Hsuan Chen, et al.
Published: (2005)