WO2020071937A1 - Procédé et système de sélection de propositions pour un utilisateur en fonction de l'analyse de ses actions - Google Patents

Procédé et système de sélection de propositions pour un utilisateur en fonction de l'analyse de ses actions

Info

Publication number
WO2020071937A1
WO2020071937A1 PCT/RU2018/000647 RU2018000647W WO2020071937A1 WO 2020071937 A1 WO2020071937 A1 WO 2020071937A1 RU 2018000647 W RU2018000647 W RU 2018000647W WO 2020071937 A1 WO2020071937 A1 WO 2020071937A1
Authority
WO
WIPO (PCT)
Prior art keywords
user
actions
data
encryption key
resource
Prior art date
Legal status (The legal status 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 status listed.)
Ceased
Application number
PCT/RU2018/000647
Other languages
English (en)
Russian (ru)
Inventor
Федор Иванович КРЕСТНИКОВ
Кирилл Сергеевич МЕЛЬНИКОВ
Кирилл Александрович ПАНИН
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sberbank PAO
Original Assignee
Sberbank PAO
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 Sberbank PAO filed Critical Sberbank PAO
Publication of WO2020071937A1 publication Critical patent/WO2020071937A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/903—Querying
    • G06F16/9035—Filtering based on additional data, e.g. user or group profiles
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
    • G06Q30/0224—Discounts or incentives, e.g. coupons or rebates based on user history
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L9/00—Cryptographic mechanisms or cryptographic arrangements for secret or secure communications; Network security protocols
    • H04L9/08—Key distribution or management, e.g. generation, sharing or updating, of cryptographic keys or passwords
    • H04L9/0816—Key establishment, i.e. cryptographic processes or cryptographic protocols whereby a shared secret becomes available to two or more parties, for subsequent use
    • H04L9/0819—Key transport or distribution, i.e. key establishment techniques where one party creates or otherwise obtains a secret value, and securely transfers it to the other(s)

Definitions

  • This technical solution in General, relates to the processing of digital data, in particular, to a method and system for marking user actions for the subsequent selection of proposals based on the analysis of its actions.
  • An existing technical problem is the need to create a method for collecting information about user actions, as well as verifying this information for the current user profile in order to relevant monitoring of his actions on the corresponding resource on the Internet.
  • the technical result is to increase the accuracy of the selection of offers for goods and / or services for the user through verified collection of data on user actions on a resource on the Internet.
  • An additional technical result is to increase the protection of data collection of user actions by applying the cryptographic protection procedure of the user ID.
  • the claimed result is achieved through a computer-implemented method of selecting proposals for the user based on an analysis of his actions, including the steps in which:
  • user actions include at least one of: the cursor path, interaction with the graphical interface element, the time spent on the cursor on the graphical interface element, scrolling the web resource page, switching to the web resource another domain, transaction data.
  • each committed action contains a unique identifier (UID).
  • UID unique identifier
  • transaction data completed by users is additionally collected.
  • the selection of proposals is carried out according to the data accumulated over a given period of time.
  • the resource is a website and / or mobile application.
  • the notification of the proposal is sent via SMS, email, PUSH notification or a call center employee.
  • the occurrence of relevant offers for user profiles is monitored by the accumulated data.
  • the claimed solution is also carried out by a computer system that contains at least one processor and at least one memory means containing machine-readable instructions that, when executed by the processor, implement the above method.
  • FIG. 1 illustrates a block diagram of an implementation of the inventive method for marking and storing data.
  • FIG. 2 illustrates an example system for implementing the method.
  • FIG. 3 illustrates a flowchart of a method for selecting relevant offers.
  • FIG. 4 illustrates an example of processing information of interest to a user.
  • FIG. 5 illustrates an example computing device.
  • This technical solution can be implemented on a computer, in the form of an automated information system (AIS) or a machine-readable medium containing instructions for performing the above method.
  • AIS automated information system
  • the technical solution can be implemented as a distributed computer system that can be installed on a centralized server (a set of servers).
  • User access to the system is possible both from the Internet and from the internal network of the enterprise / organization through a mobile communication device on which software with the corresponding graphical user interface is installed, or a personal computer with access to the web version of the system with the corresponding graphical user interface.
  • a system refers to a computer system, a computer (electronic computer), CNC (numerical control), PLC (programmable logic controller), computerized control systems, and any other devices that can perform a given, well-defined sequence of computing operations (actions, instructions).
  • An instruction processing device is understood to mean an electronic unit or an integrated circuit (microprocessor) executing machine instructions (programs).
  • the command processing device reads and executes machine instructions (programs) from one or more data storage devices.
  • Data storage devices may include, but are not limited to, hard disks (HDDs), flash memory, ROM (read only memory), solid state drives (SSDs), and optical drives.
  • HDDs hard disks
  • ROM read only memory
  • SSDs solid state drives
  • a program is a sequence of instructions for execution by a computer control device or an instruction processing device.
  • FIG. 1 shows a general diagram of the implementation of a method 100 for marking user actions for subsequent analysis and accumulation.
  • At the first stage 101 at least one public and private encryption key is generated for a certain period of validity (day, week, month, etc.). After the set period of validity of the keys, they are deactivated.
  • the encryption method may be selected from various known solutions, for example, an RSA algorithm that performs encryption of data on a public key, known by AIS.
  • Key deactivation refers to the deletion of the current version of the keys when the set date of their validity expires, because they can no longer be used to identify the user in AIS when decrypting information.
  • new keys are subsequently generated.
  • a user accesses a service channel via the Internet from a personal computer device, in particular, when accessing a website (website page), or a software application installed on a user's device, an authentication procedure is performed. For each user, an encrypted unique identifier (UID) is prepared using the public key.
  • UID encrypted unique identifier
  • the encryption method may be selected from various known solutions, for example, a one-way encryption mechanism using salt (for example, sha1 or sha2), which allows you to get a unique key that can not be decrypted.
  • salt for example, sha1 or sha2
  • the created MIA is recorded in service type files stored on the user's computer device, for example, Internet session files or cookies (step 103).
  • service type files stored on the user's computer device, for example, Internet session files or cookies (step 103).
  • the data in the service file is updated.
  • the MIA may be permanent or temporary.
  • a temporary UID is created in the absence of user profile information in the authentication system located on the server (to be described below). If you have information about a user profile that previously accessed the corresponding resource, the corresponding UID is stored in the authentication system.
  • At step 104 at least one code (script, program) is generated on the resource for which it is necessary to monitor user activity, which contains the encrypted UID of the user to identify him and perform appropriate monitoring.
  • a script can be used that is responsible for sending messages about user actions on the resource, for example, clickstream or click path, which allow you to track the transition chain.
  • a resource is understood, for example, a page of a website or a software application.
  • the code may be a personal page of a website or software application interface.
  • the analysis of user actions in step 105 is to monitor the occurring events on the resource with which user interaction is performed.
  • Such actions can be, for example, the path of the cursor, interaction with the graphical interface element, the time the cursor was on the graphical interface element, scrolling the web resource page, switching to the web resource of another domain, transaction data, downloading files, switching from the resource to social networks, etc.
  • the obtained information about the actions of the user at step 106 is stored and transmitted along with the private key to the authentication system for subsequent decryption of the UID and matching actions by the user and his profile (step 107).
  • Each action also contains a UID for storing and analyzing the corresponding types of identified actions.
  • the MIA may be associated with information such as: a user's phone number, email address, user's full name, payment card number, etc.
  • FIG. 2 presents a General view of the system of interaction of elements of the claimed solution.
  • a user using a computer device 200 for example, a smartphone, personal computer, tablet, game console, smart TV, wearable smart device, etc., interacts with a web resource 250, for example, a website or software application (for example, Sberbank Online).
  • a web resource 250 for example, a website or software application (for example, Sberbank Online).
  • the fact of user interaction on the resource 250 is recorded on the management server 300.
  • the server 300 contains the necessary software hardware for organizing the work of the necessary functions to implement the claimed method 100.
  • module 310 automated code generation is performed to monitor user actions on the web resource 250.
  • UID for the user is created, or it is selected from the database (DB) server 330, if the user is already registered in the system.
  • Information about user actions on the web resource is also subsequently stored in the database 330. Data on user actions is also transmitted to the event handler module 340, which provides the selection of relevant offers for users based on the analysis of their activity (actions) on the web resource 250 (Internet resource).
  • FIG. 3 a general diagram of the implementation of a method for selecting proposals 400 for a user based on monitoring data of his actions on a web resource 250 is presented. Based on the information received about user actions (step 401), a data analysis is performed on a web resource 250 using an automated system (step 402) to identify relevant offers for the corresponding user profile.
  • the analysis of user actions 401 may be performed according to various criteria.
  • the analysis can be carried out according to the user's transactions (website, POS-terminals, ATM, self-service device, etc.) made both using the web resource 250 on the Internet (website or software application), and payment by means of payment (debit, credit cards), which are subsequently processed on the server of the payment system and transferred to DB 330 when comparing them with the data of the corresponding user.
  • the analysis of information may occur on the basis of data characterizing the type of product or information corresponding to the interest of the user, for example, on the basis of obtaining data fixing the time spent by the user on the corresponding tab of the website or his interaction with the application interface (for example, a loan calculator, credit card issue, opening a deposit).
  • the recorded user actions are used to form the attributes of an event or user service vector during subsequent calls to the channel.
  • business events and / or complex events are generated, which are automatically analyzed and processed by business rules implemented using program logic that interacts with server 300, in particular, using an event handler module 340.
  • business rules implemented using program logic that interacts with server 300, in particular, using an event handler module 340.
  • a specific product is searched at step 403 and a message is sent to the user with its description at step 404
  • a business event is a system-processed event generated by a user of a resource 250 (for example, completed card transactions, switching to a product description on a website, etc.).
  • Business rules are a sequence of analysis and processing of user business events.
  • module 340 may use the following data: contact information, age, gender, segment, region, and other user attributes.
  • the end of the processing process for each business rule is the name or ID of a particular product / type of product (offer). For this, information from the database 330 on current available offers, as well as the current product catalog, can be used.
  • an analytical function can be implemented that allows you to calculate analytical values for each user in the context of the time interval, for example, these values can be: the number of events, the minimum / average / maximum / total / average deviation, etc. the value of one of the attributes of the event.
  • This function allows you to take into account incoming events for each user profile in a given time interval, for example, per second / minute / hour / day / week / month.
  • the counter data is used to set up algorithms for identifying a complex business event of offers and selecting the most relevant information for the respective users.
  • a complex business event is usually understood as a business event generated by the results of several previous events generated by the user on the resource 250.
  • module 340 For each business event and / or complex event, module 340 assigns a MIA. Module 340 may also implement an interface for flexible tuning of algorithms for filtering operations recorded by user actions. Module 340 searches and selects offers for the user based on the received event attributes for the user’s actions.
  • the server 300 performs decryption of the UID of the user, which is contained in the attributes of the event generated by its actions on the corresponding resource. Based on the results of event processing, the server 300 communicates the generated event attributes with the UID of the user for subsequent transmission of information to the event processing module 340 and selection of appropriate offers for the said UID of the user.
  • the analysis of proposals has a time range for accumulating the necessary information and selecting relevant data.
  • the claimed solution in particular, by processing the incoming data by the module 340, at step 401, repeated pages or categories of interest of the user by the actions taken can be recorded, for example, when viewing thematically similar elements of a web resource during the day or week (topics web pages) 250.
  • the subject matter may apply to various offers, for example, credit offers, deposits, debit / credit cards.
  • Server 300 receives data about user events in a given time period and ranks them for the availability of offers available for that user.
  • the time period for sending a message with an offer to the user can also be selected based on the analysis of the total activity of the user, both in a given time period and a longer period, which is determined based on the presence of a relevant offer or activity of user actions and the corresponding program logic implemented on the server 300. Additionally, the user's transaction history can be taken into account to take these attributes into account when selecting relevant offers.
  • Business Event Identifier The identifier of a business event received in a request to search for an offer.
  • Date 1 - The number of requests for a unique combination of “business event - product” received by the system on the first day of the selected period.
  • Date 2 - The number of requests for a unique combination of “business event - product” received by the system on the second day of the selected period.
  • Date 3 The number of requests for a unique combination of “business event - product” received by the system on the third day of the selected period.
  • Date N The number of requests for a unique combination of “business event - product” received by the system on the last day of the selected period.
  • Filtering records can be done as follows:
  • the search for offers for the user profile can be performed as follows:
  • the attribute list consists of two user identifiers, then the primary identifier is searched. If the user is not found, then an additional search is performed. In addition to the search attributes, the business search and / or complex event ID and business rule IDs are sent in the search request message.
  • the function of generating personalized calls for example, SMS messages or letters sent by e-mail, PUSH notifications, or by calling the user by the call center operator, may be provided.
  • the channel for transmitting messages to the user about the notification of the availability of identified offers is selected, as a rule, from the following information transfer channels: SMS, PUSH notifications, Internet network, telephone, software application, messenger, etc.
  • the sent offer to the user may contain information describing a particular product or product purchase conditions, the validity period of the offer, cost and other data type.
  • the Application of the method 100 of marking and storing data on user actions can improve the search for relevant one or more offers for the user by monitoring his activity on the web resource with reliable identification of the user profile.
  • FIG. 5 shows an example of a computing device 500, which can be used to perform the functions of logical processing of the necessary data to implement the claimed solution.
  • the computer device of the user 200 and the server 300 indicated in the materials of this application may be one of the embodiments of the computing device 500.
  • the computing device 500 comprises one or more processors 501 connected by a common bus 510, memory means such as RAM 502 and ROM 503, input / output interfaces 504, input / output means 505, and means for network communication 506 .
  • the 501 processor (or multiple processors, a multi-core processor) can be selected from a variety of devices currently in wide use, for example, Intel TM, AMD TM, Apple TM, Samsung Exynos TM, MediaTEK TM, Qualcomm Snapdragon TM, etc. P.
  • RAM 502 is a random access memory and is intended to store machine-readable instructions executed by the processor 501, to perform necessary operations for logical data processing.
  • RAM 502 as a rule, contains executable instructions of the operating system and corresponding software components (applications, program modules, etc.).
  • the ROM 503 is one or more permanent storage devices, for example, a hard disk drive (HDD), a solid state drive (SSD), flash memory (EEPROM, NAND, etc.), optical storage media (CD- R / RW, DVD-R / RW, BlueRay Disc, MD), etc.
  • HDD hard disk drive
  • SSD solid state drive
  • EEPROM electrically erasable programmable read-only memory
  • NAND flash memory
  • optical storage media CD- R / RW, DVD-R / RW, BlueRay Disc, MD, etc.
  • I / O 504 interfaces To organize the operation of the components of the device 500 and organize the work of external connected devices, various types of I / O 504 interfaces are used. The choice of appropriate interfaces depends on the particular design of the computing device, which may be, but not limited to: PCI, AGP, PS / 2, IrDa, FireWire, LPT, COM, SATA, IDE, Lightning, USB (2.0, 3.0, 3.1, micro, mini, type C), TRS / Audio jack (2.5, 3.5, 6.35), HDMI, DVI, VGA, Display Port , RJ45, RS232, etc.
  • various means 505 of I / O information are used, e.g. keyboard, display (monitor), touch screen, touch pad, joystick, mouse, light pen, stylus, touchpad, trackball, speakers, microphone, augmented reality, optical sensors, tablet, light indicators, projector, camera , biometric identification tools (retina scanner, fingerprint scanner, voice recognition module), etc.
  • the networking tool 506 provides data transfer by the device 500 via an internal or external computer network, such as an Intranet, Internet, LAN, or the like.
  • an internal or external computer network such as an Intranet, Internet, LAN, or the like.
  • 506 can be used, but not limited to: Ethernet card, GSM modem, GPRS modem, LTE modem, 5G modem, satellite communications module, NFC module, Bluetooth and / or BLE module, Wi-Fi module, etc.
  • satellite navigation aids such as GPS, GLONASS, BeiDou, Galileo, can also be used.

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Physics & Mathematics (AREA)
  • Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Development Economics (AREA)
  • Finance (AREA)
  • General Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Data Mining & Analysis (AREA)
  • Strategic Management (AREA)
  • Economics (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Computational Linguistics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • Computer Security & Cryptography (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

La présente invention se rapporte au traitement des données numériques et a pour but d'augmenter la précision de sélection de propositions sur des produits et/ou des services pour un utilisateur grâce à la collecte vérifiée de données d'actions de l'utilisateur sur des ressources Internet. Cet objectif est atteint grâce à un procédé mis en oeuvre par ordinateur de sélection de propositions, consistant à: effectuer une collecte d'informations sur les actions d'un utilisateur sur une ressource web, dans laquelle on génère au moins une clé ouverte et une clé fermée d'informations sur une période d'action déterminée; effectuer un cryptage d'un identifiant unique de l'utilisateur avec la clé de cryptage ouverte lorsque l'on s'adresse à la ressource web ou à une application programmée à l'aide d'un dispositif informatique; stocker l'identifiant unique de l'utilisateur dans des fichiers de type service; suivre les actions de l'utilisateur et les inscrire dans une base de donnée; transmettre à un système d'authentification passive les données écrites de l'utilisateur et la clé de cryptage fermée préalablement générée; décrypter dans le système d'authentification passive l'identifiant d'utilisateur en utilisant une clé de cryptage fermée et lier les actions obtenues à un profil; comparer les données obtenues sur les actions de l'utilisateur à des propositions existantes; analyser la pertinence des propositions pour chaque profil d'utilisateur; déterminer au moins une proposition trouvée pour le profil correspondant de l'utilisateur et envoyer ladite proposition à l'utilisateur.
PCT/RU2018/000647 2018-10-03 2018-10-03 Procédé et système de sélection de propositions pour un utilisateur en fonction de l'analyse de ses actions Ceased WO2020071937A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
RU2018134910A RU2693646C1 (ru) 2018-10-03 2018-10-03 Способ и система подбора предложений для пользователя на основании анализа его действий
RU2018134910 2018-10-03

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WO2020071937A1 true WO2020071937A1 (fr) 2020-04-09

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EA (1) EA038245B1 (fr)
RU (1) RU2693646C1 (fr)
WO (1) WO2020071937A1 (fr)

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CN115834214A (zh) * 2022-11-25 2023-03-21 中国人民解放军陆军工程大学 一种网络靶场资源加密方法及系统

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US9595043B2 (en) * 2009-07-29 2017-03-14 Shopkick, Inc. Method and system for adaptive offer determination

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US20080214153A1 (en) * 2005-09-14 2008-09-04 Jorey Ramer Mobile User Profile Creation based on User Browse Behaviors
US20090234711A1 (en) * 2005-09-14 2009-09-17 Jorey Ramer Aggregation of behavioral profile data using a monetization platform
US9595043B2 (en) * 2009-07-29 2017-03-14 Shopkick, Inc. Method and system for adaptive offer determination
US20130191213A1 (en) * 2012-01-23 2013-07-25 Visa International Service Association Systems and methods to formulate offers via mobile devices and transaction data

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115834214A (zh) * 2022-11-25 2023-03-21 中国人民解放军陆军工程大学 一种网络靶场资源加密方法及系统

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RU2693646C1 (ru) 2019-07-03
EA201892092A1 (ru) 2020-04-30
EA038245B1 (ru) 2021-07-29

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