A Clustering-Classification Recommender System based on Firefly Algorithm

H.R. Koosha; Z. Ghorbani; R. Nikfetrat

Volume 10, Issue 1 , January 2022, , Pages 103-116

https://doi.org/10.22044/jadm.2021.10782.2216

Abstract
  In the last decade, online shopping has played a vital role in customers' approach to purchasing different products, providing convenience to shop and many benefits for the economy. E-commerce is widely used for digital media products such as movies, images, and software. So, recommendation systems are ...  Read More

Improving Accuracy of Recommender Systems using Social Network Information and Longitudinal Data

B. Hassanpour; N. Abdolvand; S. Rajaee Harandi

Volume 8, Issue 3 , July 2020, , Pages 379-389

https://doi.org/10.22044/jadm.2020.7326.1871

Abstract
  The rapid development of technology, the Internet, and the development of electronic commerce have led to the emergence of recommender systems. These systems will assist the users in finding and selecting their desired items. The accuracy of the advice in recommender systems is one of the main challenges ...  Read More

H.3. Artificial Intelligence
QoS-based Web Service Recommendation using Popular-dependent Collaborative Filtering

S. Adeli; P. Moradi

Volume 8, Issue 1 , January 2020, , Pages 83-93

https://doi.org/10.22044/jadm.2019.7461.1888

Abstract
  Since, most of the organizations present their services electronically, the number of functionally-equivalent web services is increasing as well as the number of users that employ those web services. Consequently, plenty of information is generated by the users and the web services that lead to the users ...  Read More