A Recommender System Based on Customer Reviews Mining

2014 ◽  
pp. 512-523
Author(s):  
Paweł P. Ładyżyński ◽  
Przemysław Grzegorzewski
Keyword(s):  
Recommender System ◽  
Customer Reviews

scholarly journals Contextual Personality-Aware Recommender System Versus Big Data Recommender System

2021 ◽  
pp. 163-173
Author(s):  
Marcin Szmydt
Keyword(s):  
Big Data ◽  
Personality Traits ◽  
Collaborative Filtering ◽  
Recommender Systems ◽  
Recommender System ◽  
Factor Model ◽  
Five Factor Model ◽  
Customer Reviews ◽  
System Versus ◽  
Personality Theories

Many personality theories suggest that personality influences customer shopping preference. Thus, this research analyses the potential ability to improve the accuracy of the collaborative filtering recommender system by incorporating the Five-Factor Model personality traits data obtained from customer text reviews. The study uses a large Amazon dataset with customer reviews and information about verified customer product purchases. However, evaluation results show that the model leveraging big data by using the whole Amazon dataset provides better recommendations than the recommender systems trained in the contexts of the customer personality traits.

An Approach to Design and Development Recommender System

2018 ◽  
Vol 6 (3) ◽  
pp. 431-433
Author(s):  
Samir N Ajani ◽  
◽  
Lokesh M Heda ◽  
Santosh Kumar Sahu ◽  
Manish M Motghare ◽  
...  
Keyword(s):  
Recommender System ◽  
Design And Development
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