Sciweavers

Share
WISE
2009
Springer

A Web Recommender System for Recommending, Predicting and Personalizing Music Playlists

9 years 9 months ago
A Web Recommender System for Recommending, Predicting and Personalizing Music Playlists
In this paper, we present a Web recommender system for recommending, predicting and personalizing music playlists based on a user model. We have developed a hybrid similarity matching method that combines collaborative filtering with ontology-based semantic distance measurements. We dynamically generate a personalized music playlist, from a selection of recommended playlists, which comprises the most relevant tracks to the user. Our Web recommender system features three functionalities: (1) predict the likability of a user towards a specific music playlist, (2) recommend a set of music playlists, and (3) compose a new personalized music playlist. Our experimental results will show the efficacy of our hybrid similarity matching approach and the information personalization method.
Zeina Chedrawy, Syed Sibte Raza Abidi
Added 08 Mar 2010
Updated 08 Mar 2010
Type Conference
Year 2009
Where WISE
Authors Zeina Chedrawy, Syed Sibte Raza Abidi
Comments (0)
books