Int J Performability Eng ›› 2018, Vol. 14 ›› Issue (7): 1401-1410.doi: 10.23940/ijpe.18.07.p3.14011410

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A Personalized Recommendation Algorithm based on Text Mining

Ningbin Zhang   

  1. School of Information Engineering, Xi’an University, Xian, 710062, China


The recommendation system is a new technology used to recommend products for customers from huge amounts of products by inferring objective users’ preferences based on their personal information or online behavior. This paper studied the main personalized recommendation technology for current e-commerce. It proposed a hybrid recommendation algorithm based on opinion mining. This system combines web data mining technology, i.e., takes advantage of user-generated content by mining customers’ online reviews. It is well known that online reviews can directly reflect a customer’s real emotions and expectations, so it is appropriate to extract a customer’s latent interest and preference from his/her reviews, thus refining recommendations and improving accuracy. Meanwhile, an experiment was conducted and the result demonstrated that our system could generate a reliable and realistic recommendation.

Submitted on March 29, 2018; Revised on May 3, 2018; Accepted on June 19, 2018
References: 15