The influence of recommendation agents on e-commerce ecosystem is profound. Technological impact of predictive intelligence could be explained more reasonably by taking a collective perspective. However, the ecosystem perspective has only served as a prologue for discussion regarding technological influence. The lack of research development associated with the technological influence on business in the ecological lens has constrained our understanding of the penetration and the role of technology in business ecosystem evolution. This paper therefore focuses on the impact of recommendation agents for online shopping environment on e-commerce ecosystem. Moreover, this paper observes and explains the phenomena that most participants in the e-c...
The fast-growing information and communication technologies have shifted the contemporary commerce i...
Purpose: The applications of artificial intelligence (AI), natural language processing and machine l...
Today in internet, there is number of information need to be filter to reduce the information overlo...
Economic development of electronic services provide advice and many agents of existing referral syst...
Recommendation agents (RAs) are software that elicits the interests or preferences of individual con...
[[abstract]]The rapid development of Internet technologies is promoting e-commerce. Mobile agents ar...
An online recommendation system (RS) involves using information technology and customer information ...
The emergence of electronic commerce changed previous business models, though IT revolution is not a...
Recommendation systems are special personalization tools that help users to find interesting informa...
Information and Communication Technologies (ICT) are transforming the business models and entreprene...
Intelligent Product Recommendation Agents have been used for some time now by large, well known Inte...
The importance of customer behavior has grown exponentially in the past decade. The level of time an...
Marketing in today’s highly competitive environment needs to consider forces that go beyond most fir...
This thesis describes what recommendation systems are, what they are used for, how to build one, and...
Due to their powerful personalization and efficiency features, recommendation systems are being used...
The fast-growing information and communication technologies have shifted the contemporary commerce i...
Purpose: The applications of artificial intelligence (AI), natural language processing and machine l...
Today in internet, there is number of information need to be filter to reduce the information overlo...
Economic development of electronic services provide advice and many agents of existing referral syst...
Recommendation agents (RAs) are software that elicits the interests or preferences of individual con...
[[abstract]]The rapid development of Internet technologies is promoting e-commerce. Mobile agents ar...
An online recommendation system (RS) involves using information technology and customer information ...
The emergence of electronic commerce changed previous business models, though IT revolution is not a...
Recommendation systems are special personalization tools that help users to find interesting informa...
Information and Communication Technologies (ICT) are transforming the business models and entreprene...
Intelligent Product Recommendation Agents have been used for some time now by large, well known Inte...
The importance of customer behavior has grown exponentially in the past decade. The level of time an...
Marketing in today’s highly competitive environment needs to consider forces that go beyond most fir...
This thesis describes what recommendation systems are, what they are used for, how to build one, and...
Due to their powerful personalization and efficiency features, recommendation systems are being used...
The fast-growing information and communication technologies have shifted the contemporary commerce i...
Purpose: The applications of artificial intelligence (AI), natural language processing and machine l...
Today in internet, there is number of information need to be filter to reduce the information overlo...