The Hit Charade.
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| Title: | The Hit Charade. |
|---|---|
| Authors: | Knight, Will |
| Source: | MIT Technology Review. Nov/Dec2015, Vol. 118 Issue 6, p78-82. 5p. 1 Color Photograph. |
| Subjects: | Algorithms -- Social aspects, Streaming audio, Information filtering, Sound recordings, Music & society |
| Abstract: | The article offers the author's insights on the use of algorithms by several music streaming services to produce playlists including Apple Music, Pandora, and Spotify. Topics discussed include the algorithms use statistical techniques to analyze listener data and make an educated guess, but cannot account preferences of people for music, the idea behind collection data from other users is called collaborative filtering, and the limitation of automated recommendation algorithms. |
| Database: | Engineering Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: egs DbLabel: Engineering Source An: 110711128 AccessLevel: 6 PubType: Periodical PubTypeId: serialPeriodical PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: The Hit Charade. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Knight%2C+Will%22">Knight, Will</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22MIT+Technology+Review%22">MIT Technology Review</searchLink>. Nov/Dec2015, Vol. 118 Issue 6, p78-82. 5p. 1 Color Photograph. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Algorithms+--+Social+aspects%22">Algorithms -- Social aspects</searchLink><br /><searchLink fieldCode="DE" term="%22Streaming+audio%22">Streaming audio</searchLink><br /><searchLink fieldCode="DE" term="%22Information+filtering%22">Information filtering</searchLink><br /><searchLink fieldCode="DE" term="%22Sound+recordings%22">Sound recordings</searchLink><br /><searchLink fieldCode="DE" term="%22Music+%26+society%22">Music & society</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: The article offers the author's insights on the use of algorithms by several music streaming services to produce playlists including Apple Music, Pandora, and Spotify. Topics discussed include the algorithms use statistical techniques to analyze listener data and make an educated guess, but cannot account preferences of people for music, the idea behind collection data from other users is called collaborative filtering, and the limitation of automated recommendation algorithms. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=110711128 |
| RecordInfo | BibRecord: BibEntity: Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 5 StartPage: 78 Subjects: – SubjectFull: Algorithms -- Social aspects Type: general – SubjectFull: Streaming audio Type: general – SubjectFull: Information filtering Type: general – SubjectFull: Sound recordings Type: general – SubjectFull: Music & society Type: general Titles: – TitleFull: The Hit Charade. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Knight, Will IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov/Dec2015 Type: published Y: 2015 Identifiers: – Type: issn-print Value: 2749649X Numbering: – Type: volume Value: 118 – Type: issue Value: 6 Titles: – TitleFull: MIT Technology Review Type: main |
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