scholarly journals Improve Performance of Association Rule-Based Collaborative Filtering Recommendation Systems using Genetic Algorithm

2019 ◽  
Vol 11 (2) ◽  
pp. 48-55 ◽  
Author(s):  
Behzad Soleimani Neysiani ◽  
◽  
Nasim Soltani ◽  
Reza Mofidi ◽  
Mohammad Hossein Nadimi-Shahraki
Keyword(s):  
Genetic Algorithm ◽  
Collaborative Filtering ◽  
Association Rule ◽  
Recommendation Systems ◽  
Improve Performance ◽  
Rule Based

scholarly journals Recommendation Systems Based on Association Rule Mining for a Target Object by Evolutionary Algorithms

2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Hossein Hatami Varzaneh ◽  
Behzad Soleimani Neysiani ◽  
Hassan Ziafat ◽  
Nasim Soltani
Keyword(s):  
Evolutionary Algorithms ◽  
Collaborative Filtering ◽  
Recommender Systems ◽  
Association Rule ◽  
Recommendation Systems ◽  
Target Object ◽  
Research Field ◽  
Rule Mining ◽  
Improve Accuracy ◽  
Potential Customers

Recommender systems are designed for offering products to the potential customers. Collaborative Filtering is known as a common way in Recommender systems which offers recommendations made by similar users in the case of entering time and previous transactions. Low accuracy of suggestions due to a database is one of the main concerns about collaborative filtering recommender systems. In this field, numerous researches have been done using associative rules for recommendation systems to improve accuracy but runtime of rule-based recommendation systems is high and cannot be used in the real world. So, many researchers suggest using evolutionary algorithms for finding relative best rules at runtime very fast. The present study investigated the works done for producing associative rules with higher speed and quality. In the first step Apriori-based algorithm will be introduced which is used for recommendation systems and then the Particle Swarm Optimization algorithm will be described and the issues of these 2 work will be discussed. Studying this research could help to know the issues in this research field and produce suggestions which have higher speed and quality.

Collaborative Filtering Recommendation Technology Based on Genetic Algorithm

2014 ◽  
Vol 599-601 ◽  
pp. 1446-1452 ◽  
Author(s):  
Yu Bo Jia ◽  
Qian Qian Ding ◽  
Dan Li Liu ◽  
Jian Feng Zhang ◽  
Yun Long Zhang
Keyword(s):  
Genetic Algorithm ◽  
Collaborative Filtering ◽  
Recommendation Systems ◽  
Intelligent Algorithm

-In the current intelligent algorithm recommendation systems, collaborative filtering recommendati

Rule-Based and Genetic Algorithm for Automatic Gamelan Music Composition

2017 ◽  
Vol 10 (3) ◽  
pp. 202
Author(s):  
Khafiizh Hastuti ◽  
Azhari Azhari ◽  
Aina Musdholifah ◽  
Rahayu Supanggah
Keyword(s):  
Genetic Algorithm ◽  
Music Composition ◽  
Rule Based

Rule Based Network Security Using Genetic Algorithm

2007 ◽  
Vol 1 (4) ◽  
pp. 85-91
Author(s):  
Jeya S ◽  
◽  
Ramar K ◽  
Keyword(s):  
Genetic Algorithm ◽  
Network Security ◽  
Rule Based
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