hadryan Goto Github PK
Type: User
Type: User
Music recommendations
To recommend user list of music based on 20 different characteristics or features of music.
System recommender for music.
This is music recommendation system who can recommend you a music based on your selected Artist and Genre . It can also recommend music by searching or selecting any specific song from database.
Recommendation System Project
The goal of the project is to build a recommendation system to propose top 10 songs for auser based on the likelihood of listening to those songs. A number of recommendation algorithms will be applied in order to compare their performance and be able to give recommendations on implementation for the project.
UoH Applied Roots Music Recommendation System Project
This is a project for Sem V.
A music recommendation system is recommendation system which recommends music based on the user's interest.
Music recommendation model based on genre recognition with deep learning.
This system gives the user recommendations on music based on his music taste by analyzing his previously heard music and playlist. This project is done in two ways, using 'User - to - User Recommendation' and 'Item - to - Item Recommendation'.
Codes for music recommendation system algorithms implemented for comparison while working on a research paper.
Recommender system using Content Based Filtering in which the system modelled Clustering using K-Means, Data Pre-processing using PCA, Feature extraction, Mood identification using feature analysis and Song recommendation
Building an efficient music recommendation system which determines the emotion of user using Facial Recognition techniques.
Final Year dissertation project of DAITM MSc Computer Science(2020-2022)
Get recommended music based on users' ratings.
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