music recommendation service

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music recommendation service

A website that recommends new songs based on one or more favorite songs selected by the user. The service may also be available on iPhones, BlackBerrys and other smartphones and may use a proprietary technology for song selection, collaborative filtering or both. Collaborative filtering is based on the likes and dislikes of millions of users. For example, Pandora and Last.fm are two leading recommendation sites that stream the music to the user. See Pandora, Last.fm and music search.
References in periodicals archive ?
Mood-classification results for a music clip are counted and the EEG music recommender determines the dominant emotional mood as the most frequently counted mood for the music clip.
The mood modeler and the EEG music recommender on the server train the mood models, classify the mood, and deliver the updated list to the client.
Among the topics are towards an argument-based music recommender system, dishonest arguments in debate games, comparing the expressiveness of argumentation semantics, value-based argumentation for tree-like value graphs, grounded semantics as persuasion dialogue, and argument-based reinforcement learning for RoboCup Keepaway.
As we rely more and more on automatic music recommendation it is important for us to understand what makes a good music recommender and how a recommender can affect the world of music.
A music recommender should detect what type of listener a user is, as well as his or her current intentions, for example, whether the user is looking for safe recommendations or is in a more discovery-oriented mode.
They also discovered that the music recommender they built from scratch could generate song playlists that human subjects thought were as good as those that Genius generates.
As Genius is a proprietary system whose secrets are not available to the public, the researchers studied it by testing its song recommendations against comparable song suggestions from experimental music recommender systems that they fully understood.
Somekh, "Build your own music recommender by modeling internet radio streams," in Proc.
The majority of available music recommender systems are based on collaborative filtering and do not take into consideration contextual conditions that may influence the user's information or entertainment needs.
And phone company Nokia will launch its own download service called Music Recommenders today.
Her other research interests are concerned with decision support systems, electronic commerce, online consumer decision behavior, product recommender systems, content-based product search, travel planning tools, trust-inspiring interfaces for recommender agent, music recommenders, and user technology adoption.