Collection
Special Issue on "Recommendation systems (RS) in electronic markets"
This collection focuses on the use of recommendations or suggestions from the marketplace in order to capture value. The business value of a recommendation or suggestion is that it helps e-businesses (including e-commerce) and social media platforms to uncover associations that are amongst large amounts of transactions data, for the purpose of providing personalized shopping suggestions and recommendations to consumers. A Recommendation Systems (RS), therefore, would be a significant opportunity for monetization providing a competitive advantage to firms in the electronic marketplace by helping with up- and cross-sales (Heimbach et al., 2015), reducing consumers’ costs for searches (Köhler et al., 2016) and other innovative forms of bundling digital products. This collection covers state-of-the-art strategies, approaches, and case studies of RS that may be adopted in global electronic markets.
Editors
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Ravi S. Sharma
University of Canterbury, New Zealand
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Eldon Li
California Polytechnic, San Luis, USA & Tongji University, Shanghai, China
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Aijaz A. Shaikh
University of Jyväskylä, Finland
Articles (4 in this collection)
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Design of electronic-commerce recommendation systems based on outlier mining
Authors (first, second and last of 5)
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A personalized point-of-interest recommendation system for O2O commerce
Authors (first, second and last of 4)
