WO2023272858A1 - Procédé et appareil de mise en mémoire cache de ressources de page, dispositif et support - Google Patents

Procédé et appareil de mise en mémoire cache de ressources de page, dispositif et support Download PDF

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Publication number
WO2023272858A1
WO2023272858A1 PCT/CN2021/109049 CN2021109049W WO2023272858A1 WO 2023272858 A1 WO2023272858 A1 WO 2023272858A1 CN 2021109049 W CN2021109049 W CN 2021109049W WO 2023272858 A1 WO2023272858 A1 WO 2023272858A1
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WO
WIPO (PCT)
Prior art keywords
page
predicted
value
page address
address
Prior art date
Application number
PCT/CN2021/109049
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English (en)
Chinese (zh)
Inventor
余鸿飞
Original Assignee
未鲲(上海)科技服务有限公司
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.)
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Publication date
Application filed by 未鲲(上海)科技服务有限公司 filed Critical 未鲲(上海)科技服务有限公司
Publication of WO2023272858A1 publication Critical patent/WO2023272858A1/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/445—Program loading or initiating
    • G06F9/44521—Dynamic linking or loading; Link editing at or after load time, e.g. Java class loading
    • 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
    • G06F16/95—Retrieval from the web
    • G06F16/957—Browsing optimisation, e.g. caching or content distillation
    • G06F16/9574—Browsing optimisation, e.g. caching or content distillation of access to content, e.g. by caching
    • 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
    • G06F16/95—Retrieval from the web
    • G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00—Arrangements for program control, e.g. control units
    • G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44—Arrangements for executing specific programs
    • G06F9/451—Execution arrangements for user interfaces

Definitions

  • the page resource caching method, device, device and medium of the present application obtain the page loading completion signal of the i-th visit page first, and the page loading completion signal carries the user identifier to be predicted and the real value of the address of the i-th visit page , secondly in response to the page loading completion signal, obtain the target user portrait according to the user identifier to be predicted, adopt the first preset page prediction model, and perform the process according to the real value of the ith visit page address and the target user portrait Predict the page address of the i+1th access, obtain the predicted value of the i+1th accessed page address, and then search the predicted value of the i+1th accessed page address in the local cache, when no cached result is found , obtain page resources from the server according to the predicted value of the i+1th access page address, obtain the page resources to be cached, and finally store the page resources to be cached in the local cache, so that the user does not perceive automatically cache the page resource that the user may visit next time to the local cache, and when the user actually
  • the client loads the i-th visit page of the user ID to be predicted, and generates a page loading completion signal when the i-th visit page is loaded, and uses the page address of the i-th visit page as the i-th visit page address
  • the user identifier to be predicted and the real value of the address of the i-th visited page are used as parameters carried by the page loading completion signal.
  • the i-th visited page refers to the page currently browsed by the user.
  • a page is a Web (Global Wide Area Network) page.
  • the real value of the address of the i-th visit page that is, the URL (Uniform Resource Locator) address of the page that the user actually visits the i-th time corresponding to the user ID to be predicted.
  • the user profile also includes: user risk level, user security level, and historical investment records (product type, amount).
  • the first preset page prediction model is a model trained based on an AI (artificial intelligence) deep learning model.
  • Page resources that is, static resources of the page, such as CSS (Cascading Style Sheet), JS (JavaScript), HTML (Hypertext Markup Language), image files, etc.
  • CSS CSS
  • JS JavaScript
  • HTML Hypertext Markup Language
  • the step of obtaining the user profile to be predicted according to the user ID to be predicted includes: acquiring the user profile library; searching the user ID to be predicted in the user profile library, The user portrait corresponding to the user identifier found in the user portrait database is used as the user portrait to be predicted.
  • the user portrait to be predicted and the actual value of the i-1th visited page address are input into the second preset page prediction model to predict the page address of the i-th visit.
  • the address prediction value and the i-th visit page calibration value train the second preset page prediction model, thereby eliminating the need to manually collect training data, and quickly improving the performance of the first preset page prediction model for the next visit. Accuracy of Page Address Prediction.
  • the real value of the i-th visited page address is the address of the page actually visited by the user
  • the real value of the i-th visited page address is used as the i-th visited page calibration value.
  • Target user portrait acquisition module 200 configured to respond to the page loading completion signal, and acquire a target user portrait according to the user identifier to be predicted;
  • the page resource determination module 500 to be cached is used to obtain the page resource from the server according to the i+1th access page address prediction value to obtain the page resource to be cached when no cached result is found;
  • Nonvolatile memory can include read only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory.
  • Volatile memory can include random access memory (RAM) or external cache memory.

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Software Systems (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Human Computer Interaction (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

La présente invention concerne un procédé et un appareil de mise en mémoire cache de ressources de page, ainsi qu'un dispositif et un support, qui se rapportent au domaine technique de l'intelligence artificielle. Le procédé consiste à : obtenir un signal d'achèvement de chargement de page pour une i-ième page accédée, le signal d'achèvement de chargement de page transportant un identifiant d'utilisateur devant être prédit et une valeur réelle d'i-ième adresse de page accédée (S1); en réponse au signal d'achèvement de chargement de page, obtenir un portrait d'utilisateur cible selon l'identifiant d'utilisateur à prédire (S2); utiliser un premier modèle de prédiction de page prédéfini pour prédire une (i +1)-ième adresse de page accédée en fonction de la valeur réelle d'adresse de page accédée et du portrait d'utilisateur cible, pour obtenir une valeur prédite d'(i +1) ième adresse de page accédée (S3); rechercher dans une mémoire cache locale selon la valeur prédite de (i +1) ième adresse de page accédée (S4); lorsqu'un résultat de cache n'est pas trouvé, obtenir une ressource de page à partir d'un serveur selon la valeur prédite d'(i +1) ième adresse de page accédée, pour obtenir une ressource de page à mettre en mémoire cache (S5); et stocker la ressource de page à mettre en mémoire cache dans la mémoire cache locale (S6). Par conséquent, une ressource de page qui est susceptible d'être accédée par la suite par un utilisateur est automatiquement mise en mémoire cache vers une mémoire cache locale sur la base de l'absence de perception par l'utilisateur, ce qui permet d'augmenter la vitesse de chargement d'une page non ouverte.
PCT/CN2021/109049 2021-06-28 2021-07-28 Procédé et appareil de mise en mémoire cache de ressources de page, dispositif et support WO2023272858A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202110722084.XA CN113419784A (zh) 2021-06-28 2021-06-28 页面资源的缓存方法、装置、设备及介质
CN202110722084.X 2021-06-28

Publications (1)

Publication Number Publication Date
WO2023272858A1 true WO2023272858A1 (fr) 2023-01-05

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Application Number Title Priority Date Filing Date
PCT/CN2021/109049 WO2023272858A1 (fr) 2021-06-28 2021-07-28 Procédé et appareil de mise en mémoire cache de ressources de page, dispositif et support

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CN (1) CN113419784A (fr)
WO (1) WO2023272858A1 (fr)

Cited By (1)

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CN116383537A (zh) * 2023-05-23 2023-07-04 飞狐信息技术（天津）有限公司 一种页面数据的预加载方法、装置、设备和存储介质

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN117193907B (zh) * 2023-08-25 2024-08-09 中移互联网有限公司 页面处理方法及装置

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US20150200994A1 (en) * 2012-05-29 2015-07-16 Google Inc. Preloading resources of a web page
CN108280125A (zh) * 2017-12-12 2018-07-13 腾讯科技（深圳）有限公司 页面显示的方法、装置、存储介质和电子装置
CN112073405A (zh) * 2020-09-03 2020-12-11 中国平安财产保险股份有限公司 网页数据加载方法、装置、计算机设备及存储介质
CN112612982A (zh) * 2021-01-05 2021-04-06 上海哔哩哔哩科技有限公司 网页预加载方法、装置及计算机设备
CN112905939A (zh) * 2021-02-25 2021-06-04 平安普惠企业管理有限公司 Html5页面资源的加载方法、装置、设备及存储介质

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CN107864173A (zh) * 2017-06-26 2018-03-30 平安普惠企业管理有限公司 终端页面缓存方法、系统及可读存储介质
CN111639289B (zh) * 2020-05-13 2024-02-23 北京三快在线科技有限公司 一种网页加载方法及装置

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20150200994A1 (en) * 2012-05-29 2015-07-16 Google Inc. Preloading resources of a web page
CN108280125A (zh) * 2017-12-12 2018-07-13 腾讯科技（深圳）有限公司 页面显示的方法、装置、存储介质和电子装置
CN112073405A (zh) * 2020-09-03 2020-12-11 中国平安财产保险股份有限公司 网页数据加载方法、装置、计算机设备及存储介质
CN112612982A (zh) * 2021-01-05 2021-04-06 上海哔哩哔哩科技有限公司 网页预加载方法、装置及计算机设备
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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116383537A (zh) * 2023-05-23 2023-07-04 飞狐信息技术（天津）有限公司 一种页面数据的预加载方法、装置、设备和存储介质
CN116383537B (zh) * 2023-05-23 2023-09-08 飞狐信息技术（天津）有限公司 一种页面数据的预加载方法、装置、设备和存储介质

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