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A Review on Application of Web Recommendation System for Online Applications


Affiliations
1 Department of Computer Science, Rochester Institute of Technology, New York, United States
     

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Recommendation systems are offers that powerful personalization and efficiency features and it elaborated in many online environments. Research on developing a new recommender system techniques and methods and it provides great opportunities to business. This paper is used to research the recent developments in e-commerce recommendation systems. The paper was summarized and compared the latest improvements in e-commerce recommendation systems from the outlook of e-vendors. The examining provides a thorough analysis of current advancements and attempts to identify the existing issues in recommendation systems, by the review of recent publications.


Keywords

Web Recommendation Systems, Online Behavioral Analysis.
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  • A Review on Application of Web Recommendation System for Online Applications

Abstract Views: 199  |  PDF Views: 0

Authors

D. Chaffey
Department of Computer Science, Rochester Institute of Technology, New York, United States
G. Marchet
Department of Computer Science, Rochester Institute of Technology, New York, United States
Z. Huang
Department of Computer Science, Rochester Institute of Technology, New York, United States

Abstract


Recommendation systems are offers that powerful personalization and efficiency features and it elaborated in many online environments. Research on developing a new recommender system techniques and methods and it provides great opportunities to business. This paper is used to research the recent developments in e-commerce recommendation systems. The paper was summarized and compared the latest improvements in e-commerce recommendation systems from the outlook of e-vendors. The examining provides a thorough analysis of current advancements and attempts to identify the existing issues in recommendation systems, by the review of recent publications.


Keywords


Web Recommendation Systems, Online Behavioral Analysis.