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1. WO2020198603 - CLASSIFICATION OF QUERY TEXT TO GENERATE RELEVANT QUERY RESULTS

Publication Number WO/2020/198603
Publication Date 01.10.2020
International Application No. PCT/US2020/025267
International Filing Date 27.03.2020
IPC
G06F 16/2457 2019.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
20of structured data, e.g. relational data
24Querying
245Query processing
2457with adaptation to user needs
G06F 16/2453 2019.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
20of structured data, e.g. relational data
24Querying
245Query processing
2453Query optimisation
G06N 3/08 2006.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
08Learning methods
G06Q 30/06 2012.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
30Commerce, e.g. shopping or e-commerce
06Buying, selling or leasing transactions
G06F 16/248 2019.01
GPHYSICS
06COMPUTING; CALCULATING OR COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
20of structured data, e.g. relational data
24Querying
248Presentation of query results
CPC
G06F 16/953
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
16Information retrieval; Database structures therefor; File system structures therefor
90Details of database functions independent of the retrieved data types
95Retrieval from the web
953Querying, e.g. by the use of web search engines
G06F 17/15
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
FELECTRIC DIGITAL DATA PROCESSING
17Digital computing or data processing equipment or methods, specially adapted for specific functions
10Complex mathematical operations
15Correlation function computation ; including computation of convolution operations
G06K 9/6267
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
9Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
62Methods or arrangements for recognition using electronic means
6267Classification techniques
G06N 3/04
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
3Computer systems based on biological models
02using neural network models
04Architectures, e.g. interconnection topology
G06Q 30/0633
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
30Commerce, e.g. shopping or e-commerce
06Buying, selling or leasing transactions
0601Electronic shopping
0633Lists, e.g. purchase orders, compilation or processing
G06Q 30/0641
GPHYSICS
06COMPUTING; CALCULATING; COUNTING
QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
30Commerce, e.g. shopping or e-commerce
06Buying, selling or leasing transactions
0601Electronic shopping
0641Shopping interfaces
Applicants
  • TARGET BRANDS, INC. [US]/[US]
Inventors
  • SRINIVASAN, Vikram
  • SESHADRI, Srinivasan
  • WANG, Richard
Agents
  • SMITH, Ryan, C.
  • BRUESS, Steven, C.
  • LAGATTA, Andrew, J.
Priority Data
16/366,94927.03.2019US
Publication Language English (EN)
Filing Language English (EN)
Designated States
Title
(EN) CLASSIFICATION OF QUERY TEXT TO GENERATE RELEVANT QUERY RESULTS
(FR) CLASSIFICATION DE TEXTE DE REQUÊTE AFIN DE GÉNÉRER DES RÉSULTATS DE REQUÊTE PERTINENTS
Abstract
(EN)
A service may provide an e-commerce platform through which users may search for, view, and purchase products. To ensure users receive relevant results when querying for particular products or product classes, a list of ranked classes may be generated, from which the query results are based. For example, products may be classified into classes and particular text from search data may be associated with one or more of the products based on click log data. For instance, input text from previously performed queries may be associated with products interacted with following those queries (e.g., products clicked on to view/purchase). Training data that associates the particular text with the respective one or more classes into which the clicked on products are classified may be generated, and in response to receiving a query including the particular text as input, the list of ranked classes may be generated based on the training data.
(FR)
Selon la présente invention, un service peut fournir une plateforme de commerce électronique par laquelle des utilisateurs peuvent rechercher, visualiser et acheter des produits. Afin de garantir que les utilisateurs reçoivent des résultats pertinents lors d'une requête de produits ou de catégories de produits spécifiques, une liste de catégories classées peut être générée, à partir de laquelle les résultats de la requête sont fondés. Par exemple, des produits peuvent être classifiés en catégories et un texte spécifique provenant de données de recherche peut être associé à un ou plusieurs desdits produits en fonction de données de journal de clics. Par exemple, un texte d'entrée provenant de requêtes précédemment effectuées peut être associé à des produits ayant interagi avec le suivi de ces requêtes (par exemple, des produits sélectionnés en vue d'une visualisation/ d'un achat). Des données d'apprentissage qui associent le texte spécifique auxdites catégories respectives dans lesquelles les produits sélectionnés sont classifiés peuvent être générées, et lors de la réception d'une requête comprenant le texte spécifique comme entrée, la liste de catégories classées peut être générée sur la base des données d'apprentissage.
Also published as
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