MX2018005686A - Identificacion de elementos de contenido utilizando un modelo de arendizaje profundo. - Google Patents

Identificacion de elementos de contenido utilizando un modelo de arendizaje profundo.

Info

Publication number
MX2018005686A
MX2018005686A MX2018005686A MX2018005686A MX2018005686A MX 2018005686 A MX2018005686 A MX 2018005686A MX 2018005686 A MX2018005686 A MX 2018005686A MX 2018005686 A MX2018005686 A MX 2018005686A MX 2018005686 A MX2018005686 A MX 2018005686A
Authority
MX
Mexico
Prior art keywords
content items
deep
learning model
points
identifying content
Prior art date
Application number
MX2018005686A
Other languages
English (en)
Inventor
Paluri Balmanohar
Rippel Oren
Dimitrov BOURDEV Lubomir
DOLLAR Piotr
Original Assignee
Facebook Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Facebook Inc filed Critical Facebook Inc
Publication of MX2018005686A publication Critical patent/MX2018005686A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network
    • H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00—Network arrangements or protocols for supporting network services or applications
    • H04L67/01—Protocols
    • H04L67/10—Protocols in which an application is distributed across nodes in the network

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Biomedical Technology (AREA)
  • Biophysics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • General Health & Medical Sciences (AREA)
  • Molecular Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • Mathematical Physics (AREA)
  • Software Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Information Transfer Between Computers (AREA)
  • Image Generation (AREA)
  • User Interface Of Digital Computer (AREA)
  • Image Analysis (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

En una modalidad, un método puede incluir recibir un primer elemento de contenido. Puede determinarse una primera incrustación del primer elemento de contenido y puede corresponder a un primer punto en un espacio de incrustación. El espacio de incrustación puede incluir una pluralidad de segundos puntos correspondientes a una pluralidad de segundas incrustaciones de segundos elementos de contenido. Las incrustaciones se determinan utilizando un modelo de aprendizaje profundo. Los puntos se ubican en uno o más clústeres en el espacio de incrustación, que están asociados con una clase de elementos de contenido. Las ubicaciones de los puntos dentro de los clústeres pueden basarse en uno o más atributos de los respectivos elementos de contenido correspondientes. Los segundos elementos de contenido que son similares al primer elemento de contenido pueden identificarse con base en las ubicaciones deI primer punto y de los segundos puntos y en clústeres particulares en los cuales se ubican los segundos puntos correspondientes a los segundos elementos de contenido identificados.
MX2018005686A 2015-11-05 2016-02-18 Identificacion de elementos de contenido utilizando un modelo de arendizaje profundo. MX2018005686A (es)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US201562251352P 2015-11-05 2015-11-05
US14/981,413 US20170132510A1 (en) 2015-11-05 2015-12-28 Identifying Content Items Using a Deep-Learning Model
PCT/US2016/018368 WO2017078768A1 (en) 2015-11-05 2016-02-18 Identifying content items using a deep-learning model

Publications (1)

Publication Number Publication Date
MX2018005686A true MX2018005686A (es) 2018-08-01

Family

ID=58662317

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2018005686A MX2018005686A (es) 2015-11-05 2016-02-18 Identificacion de elementos de contenido utilizando un modelo de arendizaje profundo.

Country Status (10)

Country Link
US (1) US20170132510A1 (es)
JP (1) JP2019503528A (es)
KR (1) KR20180080276A (es)
CN (1) CN108292309A (es)
AU (1) AU2016350555A1 (es)
BR (1) BR112018009072A8 (es)
CA (1) CA3002758A1 (es)
IL (1) IL258761A (es)
MX (1) MX2018005686A (es)
WO (1) WO2017078768A1 (es)

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Also Published As

Publication number Publication date
IL258761A (en) 2018-06-28
BR112018009072A8 (pt) 2019-02-26
JP2019503528A (ja) 2019-02-07
CN108292309A (zh) 2018-07-17
US20170132510A1 (en) 2017-05-11
KR20180080276A (ko) 2018-07-11
WO2017078768A1 (en) 2017-05-11
CA3002758A1 (en) 2017-05-11
BR112018009072A2 (pt) 2018-10-30
AU2016350555A1 (en) 2018-05-31

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