Musicovery B2B

Time 2020-07-27 14:08:34

Web Name: Musicovery B2B

WebSite: http://musicovery.com

ID:36508

Keywords:

Musicovery,B2B,

Description:

MusicoveryWhat we doMetadatasRecommendation engineAPIWEBSERVICES ADVICEReferencesBlogKeep in touchContact MusicoveryWhat we doMetadatasRecommendation engineAPIWEBSERVICES ADVICEReferencesBlogKeep in touchContact MUSICOVERYBig data for innovative music experiencesWHAT WE DOMusicovery is a high quality and comprehensive music recommendation engine, very easy to integrate through its API.It provides 4 types of services:descriptive metadata on artists and tracks (genres, moods, era, geographic, acoustics descriptors…)recommendations and playlists, personalized in real timebespoke webservices to provide specific content (recommendation of live concerts, recommendation of playlists, Youtube channels,…)advice on data analysis, algorithms, recommendation optimization, metadata sourcing and music UX design With more than 10 years of experiments on how to provide intuitive, rich and smart radios, how to make sense of behavioural data and produce precise descriptive metadata on music content, Musicovery is in a unique position to provide a comprehensive recommendation engine. It generates any kind of recommendations and playlists: from a mood, a song, an artist, a subgenre, a theme, a place, or for a specific listener. Musicovery measures the quality of recommendations and playlists with an analytic tool that optimizes recommendations and playlists to each listener. Recommendations and playlist are provided through an API, very easy to integrate, especially for prototyping new innovative UX.Learn More METADATAS Musicovery provides metadata on:tracks :moods: key words like "happy", and mood quantitative value (valence/arousal)activities : listening situations like music for driving, working, partying…genresacoustic descriptorsartists : genres, era, role, geographic location Metadata are attributed by experts (for the top of the catalog and archetypical songs of each genres/style/moods) and automatically by machine learning from audio and semantic web (for the long tail of catalogs). Musicovery indexes systematically the commercial catalog and beyond you can upload your audio files to Musicovery API to get the corresponding metadata. Moods and activities indexation are the result of extensive researchs conducted on psychological states mapping (circumplex models like Russell, Plutchik,...), their mapping with acoustic descriptors, and on automatic indexation by machine learning (R D projects with Ircam on music information retrieval). RECOMMENDATION ENGINE Musicovery API generates the best playlists and recommendations from a mood (calm, happy,...), an artist, a track, a genre/style, a context/activity (for driving, working, partying,...), a theme, a period/year, a location (city, region, country, continent). Recommendations of tracks, artists, genres and playlists are personalized in real time to each listener, according to his music preferences, listening behaviour and listening history. With very few information on a listener music preferences and listening behavior, Musicovery engine starts very early to personalize recommendations and playlists with a high degree of relevance. Try a playlist:Launch radio from seed artist ColdplayTry a radio Classical symphonicTry radio year 1969 Try radio calmTry radio San FranciscoPlaylists and recommendations can be restricted to a specific catalog, and be optimized for a specific UX and a specific audienceAPI Musicovery API makes it very easy to provide descriptive metadata, recommendations and playlists in real time. You can test the API freely and look at the results returned by the API for the following example:Ex. : get a playlist from Skrillex, with artists little known from the same genre (dubstep) Musicovery API provides mapping between the identifiers of the major players of the industry. Clients can for instance use Musicovery API with the Facebook id of an artist as input and get as output Deezer ids of similar artists. To learn about all the functionalities provided by Musicovery, please read the documentation. API Documentation WEBSERVICES ADVICE Musicovery provides also services like personalized and geolocalised recommendation of live concerts, recommendation of playlists, personalized Youtube channels, emerging artists for specific regions and genres… These services require to identify relevant sources of data and content partners and to map identifiers of the content partners.Musicovery sets up bespoke webservices tailored to the specific needs of its clients. To make the most of music recommendation services, Musicovery provides its clients with advice on:Recommendation optimization (data analysis, algorithm design, recommendation quality measurement, A/Z tests, algorithm benchmark)Music content and metadata sourcingMusic UX design and datavizREFERENCESBlogRecommendation systems within music platforms strategy2019年6月19日 · 1After investigating music recommendation from the perspective of music platforms product, listeners behaviour, recommendation systems design, we are going to consider where recommendation fits within music platforms overall strategy. Beyond an initial strategic positioning, the ultimate shape...Music recommendation systems at work2019年4月18日In this article we are going to look at how algorithms can help personalize recommendations to various types of listeners. Although a recommendation system is a tryptic device/UI/algo, we will focus here on the issues raised by algorithms and consider the following features: user-to-items ...Listeners various paths to pleasure2019年3月29日The ultimate goal of listening to music is pleasure. But first listeners need to have a reason to discover a new song, want to listen to it again. After several repetitions they start liking the song, and getting pleasure. Once they have listened to it too often, they reach a saturation point,...More PostsKeep in touchTo get the last news about Musicovery technology, subscribe to our newsletter.NameEmail MessageCookie UseWe use cookies to ensure a smooth browsing experience. By continuing we assume you accept the use of cookies.AcceptLearn More

TAGS:Musicovery B2B 

<<< Thank you for your visit >>>

Hot Websites