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00000cgm a2200000 i 4500 |
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OR_on1203113564 |
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OCoLC |
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20231017213018.0 |
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cr cna|||||||| |
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vz czazuu |
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201104s2020 cau020 o vleng d |
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|a UMI
|b eng
|e rda
|e pn
|c UMI
|d OCLCF
|d OCLCO
|d OCLCQ
|d OCLCO
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1 |
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|a AU@
|b 000071521817
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|a (OCoLC)1203113564
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|a CL0501000162
|b Safari Books Online
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4 |
|a HF5415.32
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|a UAMI
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245 |
0 |
0 |
|a Content similarity /
|c Data Science Salon.
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264 |
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1 |
|a [Los Angeles, California] :
|b Data Science Salon,
|c 2020.
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300 |
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|a 1 online resource (1 streaming video file (19 min., 37 sec.))
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336 |
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|a two-dimensional moving image
|b tdi
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a video
|b v
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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511 |
0 |
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|a Presenter, Sylvia Tran.
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|a Title from resource description page (Safari, viewed November 4, 2020).
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|a "Presented by Sylvia Tran, Data Scientist at Gracenote. User preferences and content similarity are both key to recommendation systems. While content similarity has been widely explored and utilized by many companies in the media & entertainment industries, it still remains relevant as the amount of data and metadata available continues to grow and change. This talk discusses some of the challenges of content similarity and explores a few different attribute groups (aside from genre and cast) by which content similarity can be measured. Traditional attributes, like genre and cast alone, may not be as additive as they once were. More specifically, movies like Ted (starring Mark Wahlberg) and Shaun of the Dead do not neatly fit into a single genre. This talk also demonstrates how certain tried and true similarity metrics still yield meaningful and reasonably interpretable results for media & entertainment."--Resource description page
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590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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0 |
|a Consumers' preferences.
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650 |
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0 |
|a Decision making
|x Data processing.
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650 |
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0 |
|a Natural language processing (Computer science)
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650 |
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0 |
|a Digital media.
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650 |
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6 |
|a Consommateurs
|x Préférences.
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650 |
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6 |
|a Prise de décision
|x Informatique.
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650 |
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6 |
|a Traitement automatique des langues naturelles.
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650 |
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6 |
|a Médias numériques.
|
650 |
|
7 |
|a Consumers' preferences.
|2 fast
|0 (OCoLC)fst00876441
|
650 |
|
7 |
|a Decision making
|x Data processing.
|2 fast
|0 (OCoLC)fst00889041
|
650 |
|
7 |
|a Digital media.
|2 fast
|0 (OCoLC)fst00893716
|
650 |
|
7 |
|a Natural language processing (Computer science)
|2 fast
|0 (OCoLC)fst01034365
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700 |
1 |
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|a Tran, Sylvia,
|e on-screen presenter.
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710 |
2 |
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|a Data Science Salon,
|e publisher.
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856 |
4 |
0 |
|u https://learning.oreilly.com/videos/~/00000YC6SLEH42H0/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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994 |
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|a 92
|b IZTAP
|