TY - JOUR
T1 - An integrated framework for recommendation systems in e-commerce
AU - Shih, Timothy K.
AU - Chiu, Chuan Feng
AU - Hsu, Hui Huang
AU - Lin, Fuhua
PY - 2002
Y1 - 2002
N2 - The Internet has become a popular medium for information exchange and knowledge delivery. Several traditional social activities have moved to the Internet, such as distance learning, tele-medical system and. traditional buying and selling activities. Online merchants must know what users want, so providing recommendation services is an important strategy. Analyzes users' on-line behavior and interests, and recommends to them new or potential products. The analysis mechanism is based on the correlation among customers, product items, and product features. An algorithm is developed to classify users into groups and the recommendation is based on the classification. The system can help merchants to make suitable business decisions and provide personalized information to the customers. A generic mobile agent framework for e-commerce applications is proposed. The aforementioned collaborative computing architecture for the recommendation system is based on the framework.
AB - The Internet has become a popular medium for information exchange and knowledge delivery. Several traditional social activities have moved to the Internet, such as distance learning, tele-medical system and. traditional buying and selling activities. Online merchants must know what users want, so providing recommendation services is an important strategy. Analyzes users' on-line behavior and interests, and recommends to them new or potential products. The analysis mechanism is based on the correlation among customers, product items, and product features. An algorithm is developed to classify users into groups and the recommendation is based on the classification. The system can help merchants to make suitable business decisions and provide personalized information to the customers. A generic mobile agent framework for e-commerce applications is proposed. The aforementioned collaborative computing architecture for the recommendation system is based on the framework.
KW - Agents
KW - Computer user groups
KW - Electronic commerce
KW - Internet
KW - Recommendations
UR - http://www.scopus.com/inward/record.url?scp=0036935843&partnerID=8YFLogxK
U2 - 10.1108/02635570210445853
DO - 10.1108/02635570210445853
M3 - Journal Article
AN - SCOPUS:0036935843
SN - 0263-5577
VL - 102
SP - 417
EP - 431
JO - Industrial Management and Data Systems
JF - Industrial Management and Data Systems
IS - 8
ER -