MX2023004667A - Modelado de clic de usuario en consultas de busqueda. - Google Patents

Modelado de clic de usuario en consultas de busqueda.

Info

Publication number
MX2023004667A
MX2023004667A MX2023004667A MX2023004667A MX2023004667A MX 2023004667 A MX2023004667 A MX 2023004667A MX 2023004667 A MX2023004667 A MX 2023004667A MX 2023004667 A MX2023004667 A MX 2023004667A MX 2023004667 A MX2023004667 A MX 2023004667A
Authority
MX
Mexico
Prior art keywords
data set
training data
machine learning
learning model
modelling
Prior art date
Application number
MX2023004667A
Other languages
English (en)
Inventor
Jadda Khalifeh Al
Surya Kallumadi
Simon Hughes
Jianghong Zhou
Sayyed Zahiri
Eugene Agichtein
Original Assignee
Home Depot Int 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 Home Depot Int Inc filed Critical Home Depot Int Inc
Publication of MX2023004667A publication Critical patent/MX2023004667A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2457—Query processing with adaptation to user needs
    • G06F16/24578—Query processing with adaptation to user needs using ranking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/004—Artificial life, i.e. computing arrangements simulating life
    • G06N3/006—Artificial life, i.e. computing arrangements simulating life based on simulated virtual individual or collective life forms, e.g. social simulations or particle swarm optimisation [PSO]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/248—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/338—Presentation of query results
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/93—Document management systems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/01—Probabilistic graphical models, e.g. probabilistic networks

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Computational Linguistics (AREA)
  • Software Systems (AREA)
  • Evolutionary Computation (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Artificial Intelligence (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Biophysics (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • General Business, Economics & Management (AREA)
  • Business, Economics & Management (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Medical Informatics (AREA)
  • Computational Mathematics (AREA)
  • Algebra (AREA)
  • Mathematical Analysis (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Probability & Statistics with Applications (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

Un método para clasificar documentos en resultados de búsqueda incluye definir un primer conjunto de datos de entrenamiento, el primer conjunto de datos de entrenamiento incluye, para cada una de una pluralidad de consultas de usuario, información respectiva de un documento seleccionado por un usuario de resultados de consulta e información respectiva de uno o más documentos dentro de una ventana de observación después del documento seleccionado en los resultados y definir un segundo conjunto de datos de entrenamiento, el segundo conjunto de datos de entrenamiento incluye, para cada una de la pluralidad de consultas de usuario, información respectiva del documento seleccionado. El método incluye además entrenar un primer modelo de aprendizaje automático con el primer conjunto de datos de entrenamiento, entrenar un segundo modelo de aprendizaje automático con el segundo conjunto de datos de entrenamiento y clasificar documentos de un conjunto de resultados de búsqueda adicional, de acuerdo con el resultado o salida del primer modelo de aprendizaje automático y el resultado del segundo modelo de aprendizaje automático.
MX2023004667A 2020-10-30 2021-11-01 Modelado de clic de usuario en consultas de busqueda. MX2023004667A (es)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US202063108031P 2020-10-30 2020-10-30
US202163155890P 2021-03-03 2021-03-03
US17/514,522 US11853309B2 (en) 2020-10-30 2021-10-29 User click modelling in search queries
PCT/US2021/057518 WO2022094377A1 (en) 2020-10-30 2021-11-01 User click modelling in search queries

Publications (1)

Publication Number Publication Date
MX2023004667A true MX2023004667A (es) 2023-05-19

Family

ID=81378945

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2023004667A MX2023004667A (es) 2020-10-30 2021-11-01 Modelado de clic de usuario en consultas de busqueda.

Country Status (4)

Country Link
US (2) US11853309B2 (es)
CA (1) CA3196832A1 (es)
MX (1) MX2023004667A (es)
WO (1) WO2022094377A1 (es)

Family Cites Families (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110289025A1 (en) * 2010-05-19 2011-11-24 Microsoft Corporation Learning user intent from rule-based training data
US8612463B2 (en) * 2010-06-03 2013-12-17 Palo Alto Research Center Incorporated Identifying activities using a hybrid user-activity model
US10642845B2 (en) 2014-05-30 2020-05-05 Apple Inc. Multi-domain search on a computing device
WO2016187705A1 (en) 2015-05-22 2016-12-01 Coveo Solutions Inc. System and method for ranking search results
US11188831B2 (en) 2017-10-27 2021-11-30 Amazon Technologies, Inc. Artificial intelligence system for real-time visual feedback-based refinement of query results
US10915538B2 (en) * 2018-03-23 2021-02-09 Home Depot Product Authority, Llc Ranking and presenting search engine results based on category-specific ranking models
US10354205B1 (en) * 2018-11-29 2019-07-16 Capital One Services, Llc Machine learning system and apparatus for sampling labelled data
US10984154B2 (en) * 2018-12-27 2021-04-20 Utopus Insights, Inc. System and method for evaluating models for predictive failure of renewable energy assets
US11775863B2 (en) * 2019-05-22 2023-10-03 Oracle International Corporation Enforcing fairness on unlabeled data to improve modeling performance
US11204973B2 (en) * 2019-06-21 2021-12-21 Microsoft Technology Licensing, Llc Two-stage training with non-randomized and randomized data

Also Published As

Publication number Publication date
WO2022094377A1 (en) 2022-05-05
US20220138209A1 (en) 2022-05-05
US20240119059A1 (en) 2024-04-11
CA3196832A1 (en) 2022-05-05
US11853309B2 (en) 2023-12-26

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