Personal Information
Unternehmen/Arbeitsplatz
London, London United Kingdom
Beruf
Wandering Scholar
Webseite
stuffalsothings.blogspot.com
Info
Informaticist and researcher focused on music and music signal processing. Especially interested in predictive modeling of song sequences for recommendation and discovery (you know, a playlist).
Lately I've also been exploring the intersection of physical consumption and the Web of Data. Food and drink is rife with questions that 'big data' approaches can answer, if only the data is there. Also, if you're throwing party I can DJ (or I could try and get an algorithm to sub for me)
Specialties: music informatics, digital signal processing, filter design, music signal processing, recommender systems, automatic music analysis, web development, scipy, python, SQL, noSQL, linked data, rdf, .
Tags
music
rdf
igniteldn5 beer tasting style ale lager iwe
linked data
segment
icme
owl
ontology
admire
mir
timeseries
json
api
musicmetric
musichackday
recsys2010
metrics
womrad
playlists
recommenders
informatics
music information retrieval
playlist
automatic playlist generation
radio
music recommendation
autodj
ismir2010
distance metrics
ieee-themes
icassp2010
musicinformatics
mutual information
content-based mir
facebook
soundcloud
webmining
lastfm
claudio baccigalupo
ben fields
lyricsfly
echonest
audio
semantic
web
linked
data
jcdl
2009
sgdl
Mehr anzeigen
Präsentationen
(6)Gefällt mir
(4)User-Centric Evaluation of a K-Furthest Neighbor Collaborative Filtering Recommender Algorithm
Alan Said
•
Vor 11 Jahren
Hadoop at Musicmetric
Jameel Syed
•
Vor 12 Jahren
The London Python Code Dojo - An Education in Developer Education
Nicholas Tollervey
•
Vor 12 Jahren
Old Media, New Media, the productisation of publishing and the tethered appliance
fantasticlife
•
Vor 14 Jahren
Personal Information
Unternehmen/Arbeitsplatz
London, London United Kingdom
Beruf
Wandering Scholar
Webseite
stuffalsothings.blogspot.com
Info
Informaticist and researcher focused on music and music signal processing. Especially interested in predictive modeling of song sequences for recommendation and discovery (you know, a playlist).
Lately I've also been exploring the intersection of physical consumption and the Web of Data. Food and drink is rife with questions that 'big data' approaches can answer, if only the data is there. Also, if you're throwing party I can DJ (or I could try and get an algorithm to sub for me)
Specialties: music informatics, digital signal processing, filter design, music signal processing, recommender systems, automatic music analysis, web development, scipy, python, SQL, noSQL, linked data, rdf, .
Tags
music
rdf
igniteldn5 beer tasting style ale lager iwe
linked data
segment
icme
owl
ontology
admire
mir
timeseries
json
api
musicmetric
musichackday
recsys2010
metrics
womrad
playlists
recommenders
informatics
music information retrieval
playlist
automatic playlist generation
radio
music recommendation
autodj
ismir2010
distance metrics
ieee-themes
icassp2010
musicinformatics
mutual information
content-based mir
facebook
soundcloud
webmining
lastfm
claudio baccigalupo
ben fields
lyricsfly
echonest
audio
semantic
web
linked
data
jcdl
2009
sgdl
Mehr anzeigen