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Which clippings match 'Personal Taste' keyword pg.1 of 1
21 MARCH 2014

Haul girls: identity performance through brand consumption and endorsement

"Helina is explaining what a haul girl is to me. 'Basically, you go out shopping for clothes or beauty products,' she says, 'then you make a haul video and show viewers on YouTube what you got. You go through the items of clothing one by one. I guess what people get out of them is not showing off, like, how much money you've got or anything, but lifestyle: you get to see how one person lives, what their taste is.'

If you're minded to sneer at a youth cult that involves making videos about your shopping, then Helina has a pretty intriguing counter–argument. 'It's not just about showing what you've got,' she says. 'It's a whole creative process behind the videos as well, which is what I enjoy about it. Choosing the right music, going from the filming to the editing. Sometimes I even storyboard things, because I want certain shots, how I can present different items and things like that.' Besides, she says, it's a genuine community. She thinks a lot of haul girls 'turn the camera on because it's a way to talk to people without having to go outside and face their fears. I know that was the case with me: I turned on my camera because I was at home, signed off work, sick, and really bored. And it helped with my confidence in a way. There's this community where you can talk to like–minded people.'"

(Alexis Petridis, 20 March 2014, The Guardian)

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TAGS

2014affective consumptionaffective goal achievementamateur cultural productionASOSbeauty products • Boohoo • Boots (shop) • brand awareness • clothes shopping • commodificationcommodity fetishismconstructed identitiesconsumer aestheticsconsumer brandsconsumer cultureconsumer endorsementconsumption spectaclecultural materialismcultural monoculturedigital narcissism • haul girl • haul video • I shop therefore I amidentity performancelifestyle • Missguided (shop) • new media content productiononline communityonline followersperformativitypersonal tastepost-feminist agenda • Primark • product endorsementrecommender culture • retail therapy • shopping for clothes • show and tellspectacular societysubculturetaste formationsThe Guardianunboxingvideo blogger • whats in my bag (video) • whats in my purse (video) • YouTube • Zara (shop)

CONTRIBUTOR

Simon Perkins
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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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
03 MARCH 2014

This American Life: Ira Glass on good taste and making good work

Kinetic type interpretation of "Ira Glass on Storytelling, part 3 of 4" by David Shiyang Liu.

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TAGS

2009advice for studentsAfter Effects • artful elegance • beginners • craftsmanship • creative beginnings • creative potentialcreative skillscreative visioncreative work • encouragement • encouraging advice • expressive repertoiregood tasteindividual experience • Ira Glass • kinetic type • kinetic typographylong-term successmasterymotion graphicsmotion typeperseverance • personal ambition • personal taste • public radio • Public Radio International (PRI) • quit • radio production • radio show • sage advice • skilful masteryskill • skill-building • skilled behaviourskillful copingtaste (sociology) • This American Life (radio show) • visual interpretationwriting tips

CONTRIBUTOR

Simon Perkins
04 JANUARY 2014

An introduction to recommender systems

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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
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