... and increase confidence in a company. Qinglong Li can be contacted at: leecy@khu.ac.kr 25 04 2022 10 07 2022 17 08 2022 The collaborative filtering (CF) algorithm is the most widely used of many recommender systems (Kim et al., 2012 , 2010b ; Khodabandehlou et al...

... et al., 2015), ontology/knowledge-based (Trewin, 2000 ; Tarus et al., 2018), emotion-based (Deng et al., 2015) and personality-based approaches (Onori et al., 2016), etc. Among these varieties, content-based music recommender systems tried to find interesting music...

...Samira Khodabandehlou; S. Alireza Hashemi Golpayegani; Mahmoud Zivari Rahman Purpose Improving the performance of recommender systems (RSs) has always been a major challenge in the area of e-commerce because the systems face issues such as cold start, sparsity, scalability and interest drift...