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17 MARCH 2014

The Pandora Music Genome Project

"We believe that each individual has a unique relationship with music–no one else has tastes exactly like yours. So delivering a great radio experience to each and every listener requires an incredibly broad and deep understanding of music. That's why Pandora is based on the Music Genome Project, the most sophisticated taxonomy of musical information ever collected. It represents over ten years of analysis by our trained team of musicologists, and spans everything from this past Tuesday's new releases all the way back to the Renaissance and Classical music.

Each song in the Music Genome Project is analyzed using up to 450 distinct musical characteristics by a trained music analyst. These attributes capture not only the musical identity of a song, but also the many significant qualities that are relevant to understanding the musical preferences of listeners. The typical music analyst working on the Music Genome Project has a four–year degree in music theory, composition or performance, has passed through a selective screening process and has completed intensive training in the Music Genome's rigorous and precise methodology. To qualify for the work, analysts must have a firm grounding in music theory, including familiarity with a wide range of styles and sounds.

The Music Genome Project's database is built using a methodology that includes the use of precisely defined terminology, a consistent frame of reference, redundant analysis, and ongoing quality control to ensure that data integrity remains reliably high. Pandora does not use machine–listening or other forms of automated data extraction.

The Music Genome Project is updated on a continual basis with the latest releases, emerging artists, and an ever–deepening collection of catalogue titles.

By utilizing the wealth of musicological information stored in the Music Genome Project, Pandora recognizes and responds to each individual's tastes. The result is a much more personalized radio experience – stations that play music you'll love – and nothing else."

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TAGS

analysing dataappeal • attributes • automated data extraction • characteristicsdata analysisdata gathering instruments • data integrity • databasedescriptive labels • ersonalised radio experience • frame of reference • individual preference • individual taste • internet radio • listener preference • machine-listening • metricsmusic • music analyst • Music Genome Project • music taste • music theory • musical characteristicsmusical identitymusical information • musical preferences • musicological information • musicologist • Pandora Radiopersonal taste • precisely terminology • qualities • quality control • radio • radio experience • redundant analysis • relatednesssegmentationsongtaste (sociology)taxonomy • unique taste • user behavioursuser segmentation

CONTRIBUTOR

Simon Perkins
08 JANUARY 2014

Kafka's Wound by Will Self

"I am guilty of an association of ideas; or rather: I am guilty–that's a given, and in casting about for the source of my guilt I find I cannot prevent myself from linking one idea with another purely on the basis of their contiguity, in time, in place, in my own mind. It's not only ideas I connect like this, I do it with images, sensory impressions and the most epiphenomenal of mental glitches. Hume writes in his An Enquiry Concerning Human Understanding that the imagination is best conceived of as a combinatorial faculty: there is nothing intrinsically imaginative about the idea of 'gold', nor the idea of 'mountain', but join them together and you have a fantastically gleaming 'gold mountain'. And might not that gold mountain be the Laurenziberg in Prague? After all, it looms over contemporary Prague–under its Czech language moniker, the Petřín–just as it loomed in the consciousness of Franz Kafka, whose earliest surviving narrative fragment, 'Description of a Struggle', is in part an account of a phantasmagorical ascent of its slopes: 'But now the cool light which precedes the rising of the moon spread over the mountain and suddenly the moon itself appeared from beyond one of the restless bushes. I on the other hand had meanwhile been gazing in another direction, and when I now looked ahead of me and suddenly saw it glowing in its almost full roundness, I stood still with troubled eyes, for my precipitous road seemed to lead straight into this terrifying moon.'"

(Kafka's Wound by Will Self)

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TAGS

associative • associative logic • between people and things • combinatorial faculty • contiguity • Czech language • Czech RepublicDavid Hume • epiphenomenal • essay • fantastically gleaming • Franz Kafkaglitch • gold mountain • hypermedia • idea association • imaginationinformation visualisationinterlinking • linking one idea with another • linking structure • London Review of Books • mental glitch • moonnodal structureorganisational relationship • Petrin • phantasmagoricalPraguerelatednessrhizomatic associationsrhizome • sensory impressions • similitude • Will Self

CONTRIBUTOR

Anna Troisi
04 JANUARY 2014

An introduction to recommender systems

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TAGS

advogato.org • affinity analysisalgorithmic filtersAmazon.comautomatic predictions • collaborative filtering • collaborative filtering approach • correlationsdata matchingdata miningecho chamberfavourite things • FilmTrust • information filtering • information filtering system • information patterns • interests • Jennifer Golbeck • large datasetsLast.fm • moleskiing.it • Pandora Radiopersonal tastepersonalised suggestionsprediction • process of filtering • rating systemrecommendationrecommendation enginerecommendation platform • recommendation system • recommendation systems • recommender systems • relatednessrelationships between individualsserendipitysimilaritysimilarity machinesimilitude • trust metric • trust-based recommender systems • user datauser preferences

CONTRIBUTOR

Simon Perkins
05 JANUARY 2013

Visualising interconnectedness through social network streams

"Tech City Map, created by developers at Trampoline Systems and designed by Playgen, pulls in streams of social network data for all of the businesses in the area to help analyse their influence. The Tech City Map follows in the footsteps of Matt Biddulph's original Silicon Roundabout map as well as Wired's very own version, produced in 2009."

(Olivia Solon and Nate Lanxon, 10 November 2011, Wired UK)

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TAGS

2011 • academic partners • affinityAmazon.combusinessbusiness community • Central London • chartCiscoCity University Londoncluster mapping • creative startup • data visualisationDavid Camerondiagrameast LondonEast London Tech CityEric van der KleijFacebookGoogle IncGoogle MapsGreenwichHackneyhubImperial College Londoninformation visualisationIntelinterconnectedness • Islington • LondonLoughborough Universitymap • Matt Biddulph • media companiesnetwork • Newham • next-generation applications • next-generation services • Old Street • Old Street roundabout • Olympic Legacy Company • Olympic Park • Playgen • Qualcomm • Queen Elizabeth Olympic Park • relatedness • retweets • ShoreditchSilicon Roundabout • Silicon Roundabout map • Silicon Valleysoftware companiesstart-up business • Stratford • Tech City • Tech City cluster • Tech City Map • technology companies • Tower Hamlets • Trampoline Systems Ltd • Twitter streamUK • UK headquarters • University College LondonvisualisationVodafoneweb of connections

CONTRIBUTOR

Simon Perkins
28 JANUARY 2012

GeneaQuilts: visualisation tool for large genealogies

"GeneaQuilts is a new visualization technique for representing large genealogies of up to several thousand individuals. The visualization takes the form of a diagonally–filled matrix, where rows are individuals and columns are nuclear families. The GeneaQuilts system includes an overview, a timeline, search and filtering components, and a new interaction technique called Bring & Slide that allows fluid navigation in very large genealogies."

(Anastasia Bezerianos, Pierre Dragicevic, Jean–Daniel Fekete, Juhee Bae and Ben Watson)

3). A. Bezerianos, P. Dragicevic, J.–D. Fekete, J. Bae, B. Watson. GeneaQuilts: A System for Exploring Large Genealogies. In IEEE InfoVis '10: IEEE Transactions on Visualization and Computer Graphics, Oct 2010, Salt–Lake City, USA

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TAGS

ancestorsancestrybelongingchartdatadatasetdesign • diagonal • diagonally-filled matrix • diagramfamilyfamily history • family research • family treegenealogy • GeneaQuilts • graphic representationinformation graphicslarge datasets • large genealogies • matrixnodesnuclear familyrelatednesstimelinetooltreetree visualisationvisualisation • visualisation technique • visualization

CONTRIBUTOR

Simon Perkins
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