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Showing posts with label recommendationsystem. Show all posts
Showing posts with label recommendationsystem. Show all posts

Wednesday, May 24, 2023

Recommendation Systems

I first learned of recommendation systems during my first literature review course at NCU. The topic was online reviews and recommender systems were one type of system connected with online reviews. I included some information in my paper on these systems that made recommendations to users. I thought they added a lot of value (were very helpful and useful to the consumer). Today, I learned of recommendation systems for music. I found several papers on systems that use different approaches to recommend music to users. How interesting! I would like to personally test these systems. 

A Music Recommendation System Based On Psychotherapy
By: Zhiyuan Liu, Wei Xu, Wenping Zhang, Qiqi Jiang
https://www.sciencedirect.com/science/article/pii/S277256932300097X

I am all EARS: Using Open Data And Knowledge Graph Embeddings for Music Recommendations
By: Niels Bertram, Jürgen Dunkel, Ramón Hermoso
https://www.sciencedirect.com/science/article/pii/S0957417423008497

Photo of article on a music recommendation system