An Overview of the Recommender System

Abstract:

Delivering recommendation services are the trend of the future, so Recommender System varied very vital and widely applied in e-commerce websites to help customers in finding the items they want. A recommender system should be able to provide users with useful information about the items that might be interesting to them. The ability of immediately responding to changes in users preferences is a valuable asset for such systems. In recommender system, a variety of methods have been emerged as the basis for recommender. However, existing recommendation methods have the limitation. To overcome this limitation, we will propose new recommender system by combining the existing techniques. So, we firstly give an overview of recommender system for the future researches.

• Periodical: Applied Mechanics and Materials (Volume 302)
• Pages: 787-791
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.302.787
• Online since: February 2013
• Authors: Lu Zhao, Rong Rong Yang, Meng Zhai, Feng Ming Liu
• Keywords: Collaborative Filtering (CF), Demographic, E-Commerce (EC), Recommender System, Utility

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