How can we build an alternative recommendation algorithm to the dominant GAFAM models? (notice n° 191512)
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fixed length control field | 01013cam a2200157 4500500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20250112044630.0 |
041 ## - LANGUAGE CODE | |
Language code of text/sound track or separate title | fre |
042 ## - AUTHENTICATION CODE | |
Authentication code | dc |
100 10 - MAIN ENTRY--PERSONAL NAME | |
Personal name | Gantier, Samuel |
Relator term | author |
245 00 - TITLE STATEMENT | |
Title | How can we build an alternative recommendation algorithm to the dominant GAFAM models? |
260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
Date of publication, distribution, etc. | 2022.<br/> |
500 ## - GENERAL NOTE | |
General note | 93 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | Finding one’s way through the mass of films legally available online is now a major cultural and commercial issue. To capture the attention of their audiences, the major online players have invested considerable resources in designing recommendation algorithms that are supposed to help users with their viewing choices. As an alternative to the dominant GAFAM models, the documentary film platform Tënk is experimenting with a new and ethical algorithm that promotes the variety of works and is in line with cinephile practices. |
786 0# - DATA SOURCE ENTRY | |
Note | Nectart | 15 | 2 | 2022-06-10 | p. 32-43 | 2429-2877 |
856 41 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | <a href="https://shs.cairn.info/journal-nectart-2022-2-page-32?lang=en">https://shs.cairn.info/journal-nectart-2022-2-page-32?lang=en</a> |
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