A Survey of e-Commerce Recommender Systems

  • Farida Karimova School of Management Huazhong University of Science and Technology, China


Due to their powerful personalization and efficiency features, recommendation systems are being used extensively in many online environments. Recommender systems provide great opportunities to businesses, therefore research on developing new recommender system techniques and methods have been receiving increasing attention. This paper reviews recent developments in recommender systems in the domain of ecommerce. The main purpose of the paper is to summarize and compare the latest improvements of e-commerce recommender systems from the perspective of e-vendors. By examining the recent publications in the field, our research provides thorough analysis of current advancements and attempts to identify the existing issues in recommender systems. Final outcomes give practitioners and researchers the necessary insights and directions on recommender systems.


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How to Cite
Karimova, F. (2016). A Survey of e-Commerce Recommender Systems. European Scientific Journal, ESJ, 12(34), 75. https://doi.org/10.19044/esj.2016.v12n34p75