Song Recommendation based on user’s Activity using Ensemble Learning and Clustering

Song Recommendation based on user’s Activity using Ensemble Learning and Clustering

The Song Recommendation System Based on User Schedule project is designed to provide users with personalized music recommendations that match their daily activities and mood swings. With a busy and hectic schedule, it can be challenging to find time to select music that matches a user’s current acti...

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Bibliographic Details
Main Authors: Joshi Deepali, Gade Akshay, Savale Phalguni, Bhujbal Vinay, Goje Pranavraj, Mhamane Saniya
Format: Article
Language:English
Published: EDP Sciences 2023-01-01
Series:ITM Web of Conferences
Subjects:
ensemble learning
xgboost
firebase
k-means
stacking approach
clustering
Online Access:https://www.itm-conferences.org/articles/itmconf/pdf/2023/06/itmconf_icdsac2023_05014.pdf

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