EP4278317A1 - Système, procédé, appareil et produit-programme informatique destinés à la recherche de cadeaux en fonction de la personnalité pour toutes les occasions - Google Patents

Système, procédé, appareil et produit-programme informatique destinés à la recherche de cadeaux en fonction de la personnalité pour toutes les occasions

Info

Publication number
EP4278317A1
EP4278317A1 EP21937158.0A EP21937158A EP4278317A1 EP 4278317 A1 EP4278317 A1 EP 4278317A1 EP 21937158 A EP21937158 A EP 21937158A EP 4278317 A1 EP4278317 A1 EP 4278317A1
Authority
EP
European Patent Office
Prior art keywords
gift
persona
personas
govava
selection
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.)
Pending
Application number
EP21937158.0A
Other languages
German (de)
English (en)
Other versions
EP4278317A4 (fr
Inventor
Carl Anthony Richards
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.)
Individual
Original Assignee
Individual
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 Individual filed Critical Individual
Publication of EP4278317A1 publication Critical patent/EP4278317A1/fr
Publication of EP4278317A4 publication Critical patent/EP4278317A4/fr
Pending legal-status Critical Current

Links

Classifications

    • 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
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0631—Recommending goods or services
    • 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
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0641—Electronic shopping [e-shopping] utilising user interfaces specially adapted for shopping
    • G06Q30/0643—Electronic shopping [e-shopping] utilising user interfaces specially adapted for shopping graphically representing goods, e.g. 3D product representation

Definitions

  • the present invention relates to online shopping experiences, and more particularly to shopping assistance to facilitate selection of gifts.
  • a method for ordering a gift through an online gift selection platform includes displaying a plurality of personas on a user interface. Each of the plurality of personas are represented by a distinct avatar corresponding to a psychological image correlation meaning of an intended gift recipient. A persona selection corresponding to a perceived persona for an intended gift recipient is received.
  • One or more product databases are searched for a gift option according to one or more characteristics of the selected persona.
  • the method may then return links to the gift option; and presenting the gift option in a gift selection interface.
  • a computerized system for ordering a gift through an online gift selection platform includes a computer having a user interface; and a program product having machine-readable program code for causing, when executed, the computer to perform process steps.
  • the process steps include displaying a plurality of personas on a user interface. Each of the plurality of personas are represented by a distinct avatar corresponding to a psychological image correlation meaning of an intended gift recipient.
  • a persona selection corresponding to a perceived persona for an intended gift recipient is received by the system.
  • One or more product databases are then searched for a gift option according to one or more characteristics of the selected persona. Links to the gift option are returned and presented in a gift selection interface.
  • a computer program product with machine-readable program code that is stored in a non-transient storage medium for causing, when executed, a computer to perform process steps.
  • the process steps include displaying a plurality of personas on a user interface, each of the plurality of personas are represented by a distinct avatar corresponding to a psychological image correlation meaning of an intended gift recipient.
  • Other steps include, receiving a persona selection corresponding to a perceived persona for an intended gift recipient. Responsive to the persona selection, searching one or more product databases for a gift option chosen according to one or more characteristics of the selected persona.
  • Yet other steps include, returning links to the gift option and presenting the gift option in a gift selection interface.
  • Fig 1 is a schematic diagram of a system architecture for a persona based gift search system
  • FIG 2 is a schematic view of a homepage for a browser implementing the persona based gift selection system
  • Fig 3 is a diagram of a persona selection interface for a persona based gift selection system
  • Fig 4 is a diagram of a persona definition interface
  • Fig 5 is a diagram of an administration user interface
  • Fig 6 is a diagram of a gift selection user interface
  • Fig 7 is a diagram of a pet gift definition user interface.
  • embodiments of the present invention provide a system method and apparatus and computer program product, hereinafter Govava, that provides a persona based gift searche for all occasions.
  • Govava s persona based search platform uses a psychological image correlation meaning to represent an individual’s cultural and sub-cultural attributes and local databases to descern meaning then presents the results.
  • Govava is configured to find retail or wholesale items as the perfect gift by the input of the user’s specification of a persona for the individual they are buying for according to one or more demographic and sub-cultures in specific categories.
  • Govava may also use a psychological image correlation meaning to represent individual, cultural and sub-cultural attributes and local databases then presents the results.
  • Genova may use social media, tracking, and API for demographics, sub-demographics, subcultures, personality demographics, demographic variables, comparative personal analysis and user inputs to correlate information.
  • the present invention solves the problem of people guessing what gifts to buy for any and all occasions.
  • Govava solves the problem by helping an individual find the perfect gift(s) item(s) that fit any occasion by using the Govava and algorithm to narrow down the search to a few or many item(s).
  • code and API Using code and API, BIG Data other Govava.
  • the Govava is able to find the perfect gift by the input of the user(s) specification about the individual’s demographic, and sub-cultures in specific categories.
  • User input of demographic information and attributes in which the system interprets and process to search for items on the internet or local databases then presents the results.
  • Govava may use one or more algorithms, APIs, BIG Data to take the guesswork out of finding gifts and other services for all occasions for any user.
  • Gevova will also allow users to shop together via the platform simultaneously or other communication methods.
  • Govava uses social media, tracking routines and API for demographics, sub-demographics, subcultures, personality demographics, demographic variables, comparative personal analysis and user inputs to correlate information, visual avatars, personal styles comparisons and return specific and general results. API used by other companies or vendors as well to correlate and analyze with the other data used.
  • the system may include a website hosted on one or more servers. Data gathering is accomplished via an SQL database for user input. Data gathering may also be accomplished where Govava maintains a record of various user transactions. Transactions’ here imply any of the following: a. Buying an item b. Adding item to cart c. Adding to wishlist d. Liking the item e. Disliking the item
  • Keywords used for search and Filters used by the customer e.g. relationship for whom gift is being purchased; age-bracket; occasion (birthday; anniversary etc.); and price-range.
  • This archive of information will help in training the ML model in finding clusters of: a. similar users and b. similar items.
  • Data wrangling performs structuring and formatting the Input.
  • raw transaction data is structured and formatted, after being fetched from the SQL database linked to Govava is re-arranged in a format suitable for a machine learning (ML) module.
  • Table 2 illustrates a data wrangling.
  • the heuristic data will be used for hard-coding of logic e.g. recommending similar category items to someone who had bought a birthday gift for her mother the same month last year. So, the recommendation engine for Govava website will be a healthy blend of both, (predominantly) machine learning based as well as (occasional) rule-based logic too.
  • the results obtained from the data wrangling are further processed via the ML module.
  • the ML module is configured to analyze heuristic data that will be used for hard-coding of logic.
  • heuristic data that will be used for hard-coding of logic.
  • the recommendation engine for Govava website presents a healthy blend of both, (predominantly) ML based as well as (occasional) rule-based logic.
  • Each item and each user is being represented by its unique “embeddings” i.e. an array of numbers.
  • embeddings are based on latent (hidden) features which are useful in understanding users (e.g. age, gender, income level etc.) and items (category, price range, color, size etc.).
  • latent hidden
  • items categories, price range, color, size etc.
  • the dimension of such embeddings varies from 10 - 50. Several different values within this range may be employed, in order to arrive at the most optimal one for Govava users.
  • a scoring and ranking module is provided for learning a plurality of embeddings.
  • there can be multiple possible combinations of the embedding representations i.e. numbers inside the arrays.
  • the ML model compares its initial predictions of user- preferences, with actual transactions from the Govava website and optimizes the ‘weights’ (values inside the matrix) accordingly. In other words, the model is trying to learn those sets of values for the plurality of embeddings which are representative of the actual user-preferences. This is where the machine learning learns how to do the needful.
  • Figure 2 is a representative use interface for a browser based shopping platform according to aspects of the invention.
  • the browser interface includes a home page 20 and may list a plurality of products 21 arranged either graphically or textually according to a plurality of item categories.
  • the home page 20 may include a banner area 10 for branding of the shopping platform.
  • the browser interface may also display one or more trending items 22, linked to a description and purchase option for the trending item 22. Selection of the one or more trending items 22 for display may be based upon Govava analytics.
  • a plurality of filter controls 23 may be provided to segregate and search for items, such as by gender, a price point, or other filter.
  • a persona control 24 allows the user to define one or more parameters and demographic information for an intended recipient of a gift item.
  • the user Upon activation of the persona control 24, the user is presented a persona selection interface 30, such as shown in reference to FIG. 3.
  • the persona selection interface 30 includes a plurality of personas 32, each represented by a distinct avatar, corresponding to a psychological image correlation meaning of the gift recipient.
  • a plurality of pages of selectable personas 32 may be provided to allow the user to select a persona that they feel most closely identifies the intended gift recipient.
  • each of the plurality of personas 32 may be defined in a persona definition interface 40.
  • the plurality of personas 32 may be defined according to a unique keyword associated with a style or a character trait representing the persona 32.
  • the persona 32 may be further correlated according to one or more persona characteristics 33 such as clothing, makeup, dress, aesthetic, style, outfits, fashion, hairstyles, footwear, age, gender, or other demographic, cultural, or sub-cultural traits.
  • the persona definition interface 40 is provided to a web host service to define the plurality of personas 32.
  • the persona definition interface 40 is provided to permit a user to further define the persona, personal traits and characteristics of the intended recipients. In either case, the persona definition characteristics 33 are utilized with a machine learning module to match a gift to an intended recipient of the gift based on the plurality of designated personas 32.
  • an administration panel 50 is provided to provide input for demographic information and assessing trending products according to a plurality of demographic variables, trending products, and a variable AAA, where AAA is a variable input from keywords added in conjunction with each character: occasion, style, price, Age, Male and Female.
  • AAA is a variable input from keywords added in conjunction with each character: occasion, style, price, Age, Male and Female.
  • the results is used with the ML module.
  • Each input is scored and tracked via the machine code.
  • Govava then processes, indexes and saves the pattern.
  • the ML module then send the results based on the variable that the user initially input.
  • the demographic variables may also include a geo location 52 for the intended recipient.
  • the Govava administration panel 50 uses the psychological image correlation meaning to represent individuals, cultural and sub-cultural attributes and local databases to discern meaning then presents the results.
  • the marketplace API 53 is configured to execute transactions once the user makes a gift selection via a gift selection interface 60.
  • Figure 6 illustrates a representative gift selection interface 60.
  • the gift selection interface 60 presents the output results of the trending API 54 to present one or more trending gift ideas 62.
  • the trending gift ideas 62 may be based on a machine learning assessment of consumer transactions for a variety of products according to the selected persona 32 of the intended recipient of the gift.
  • the trending gift ideas 62 may present the trending gift ideas 62 with one or more gift options 64.
  • the one or more gift options 64 may be selected to present additional information pertaining to a gift option 64.
  • the selected gift option 64 may be sold through Govava or through a third party vendor of the selected gift option 64.
  • the Govava analytics engine will be used to discern user text to extract meaning to help the Govava system provide search results.
  • the ML module has the potential to keep getting better with time.
  • Govava may also have the ability for a user to send a request to one or more friends, family or loves ones to assist with making a gift selection for the gift recipient. This will give users the flexibility to shop simultaneously for gift items in delayed or real-time environment.
  • Govava may connect to one or more APIs 54, 56 and correlate with the persona input from a user shopping for a gift recipient.
  • Govava may also be used as an advertising tool or mechanism to target specific customers.
  • the Govava system may be used to learn consumer patterns, analyze, discern and produce statistics.
  • Govava can produce analytics Govava in targeted advertising Govava or products to consumers.
  • Genova may also be utilized to locate a gift item for a pet through a pet user interface 70, according to a profile 72 for the pet according to a specification 74 of the pet’s attributes, breed, color, and behavioral characteristics.
  • the pet user interface 70 may also be utilized to select a designated holiday or event 76.
  • the system of the present invention may include at least one computer with a user interface.
  • the computer may include any computer including, but not limited to, a desktop, laptop, and smart device, such as, a tablet and smart phone.
  • the computer includes a program product including a machine-readable program code for causing, when executed, the computer to perform steps.
  • the program product may include software which may either be loaded onto the computer or accessed by the computer.
  • the loaded software may include an application on a smart device.
  • the software may be accessed by the computer using a web browser.
  • the computer may access the software via the web browser using the internet, extranet, intranet, host server, internet cloud and the like.
  • the computer-based data processing system and method described above is for purposes of example only, and may be implemented in any type of computer system or programming or processing environment, or in a computer program, alone or in conjunction with hardware.
  • the present invention may also be implemented in software stored on a non-transitory computer-readable medium and executed as a computer program on a general purpose or special purpose computer.
  • a general purpose or special purpose computer For clarity, only those aspects of the system germane to the invention are described, and product details well known in the art are omitted.
  • the computer hardware is not described in further detail. It should thus be understood that the invention is not limited to any specific computer language, program, or computer.
  • the present invention may be run on a stand-alone computer system, or may be run from a server computer system that can be accessed by a plurality of client computer systems interconnected over an intranet network, or that is accessible to clients over the Internet.
  • many embodiments of the present invention have application to a wide range of industries.
  • the present application discloses a system, the method implemented by that system, as well as software stored on a computer-readable medium and executed as a computer program to perform the method on a general purpose or special purpose computer, are within the scope of the present invention.
  • a system of apparatuses configured to implement the method are within the scope of the present invention.

Landscapes

  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Development Economics (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Devices For Executing Special Programs (AREA)

Abstract

Système, procédé, appareil et produit-programme informatique destinés à la recherche de cadeaux en fonction de la personnalité pour toutes les occasions. L'invention concerne un site Web et des services de recherche et de commande en ligne d'applications fournissant un site Web sur un réseau informatique global contenant des articles de vente au détail correspondant à des informations d'achat dans le domaine des vacances, des anniversaires et des articles de cadeaux pour des occasions spéciales et présentant des liens vers les produits sur des sites Web apparentés à d'autres. Le logiciel Govava utilise le sens de la corrélation des images psychologiques pour représenter des individus, des attributs culturels et des attributs sous-culturels et des bases de données locales pour discerner le sens, puis présente les résultats.
EP21937158.0A 2021-04-15 2021-04-15 Système, procédé, appareil et produit-programme informatique destinés à la recherche de cadeaux en fonction de la personnalité pour toutes les occasions Pending EP4278317A4 (fr)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/US2021/027379 WO2022220829A1 (fr) 2021-04-15 2021-04-15 Système, procédé, appareil et produit-programme informatique destinés à la recherche de cadeaux en fonction de la personnalité pour toutes les occasions

Publications (2)

Publication Number Publication Date
EP4278317A1 true EP4278317A1 (fr) 2023-11-22
EP4278317A4 EP4278317A4 (fr) 2024-10-30

Family

ID=83640924

Family Applications (1)

Application Number Title Priority Date Filing Date
EP21937158.0A Pending EP4278317A4 (fr) 2021-04-15 2021-04-15 Système, procédé, appareil et produit-programme informatique destinés à la recherche de cadeaux en fonction de la personnalité pour toutes les occasions

Country Status (4)

Country Link
EP (1) EP4278317A4 (fr)
AU (1) AU2021440770A1 (fr)
CA (1) CA3212396A1 (fr)
WO (1) WO2022220829A1 (fr)

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9744466B2 (en) * 2008-03-13 2017-08-29 Mattel, Inc. Widgetized avatar and a method and system of creating and using same
US9898535B2 (en) * 2013-01-28 2018-02-20 Mark C. Edberg Avatar-based search tool
US20130211951A1 (en) * 2012-02-09 2013-08-15 Wal-Mart Stores, Inc. Self learning gift recommendation engine
US20180089740A1 (en) * 2016-09-23 2018-03-29 Stephanie Reese System for identifying and suggesting goods for purchase
US11301746B2 (en) * 2017-12-30 2022-04-12 Graphen, Inc. Persona-driven and artificially-intelligent avatar

Also Published As

Publication number Publication date
AU2021440770A1 (en) 2023-10-12
CA3212396A1 (fr) 2022-10-20
EP4278317A4 (fr) 2024-10-30
WO2022220829A1 (fr) 2022-10-20

Similar Documents

Publication Publication Date Title
US12293402B2 (en) Recommendations based upon explicit user similarity
US11682060B2 (en) Methods and apparatuses for providing search results using embedding-based retrieval
US10861077B1 (en) Machine, process, and manufacture for machine learning based cross category item recommendations
US20200342320A1 (en) Non-binary gender filter
KR102227552B1 (ko) 상황인지 알고리즘 기반 리뷰 카테고리를 이용한 음식점 노출 개인화 서비스 제공 시스템
US20150262282A1 (en) Computer-implemented method and system for recommendation system input management
CA3111139C (fr) Determination des mots-cles de recherche recommandes pour un utilisateur d`un systeme de conciergerie
US20120078825A1 (en) Search result ranking using machine learning
US20120284145A1 (en) Item discovery tools and methods for shopping in an electronic commerce environment
US20220215455A1 (en) Computer-Implemented Method for Recommendation System Input Management
US20210350391A1 (en) Methods and systems for providing a personalized user interface
US11170430B1 (en) System, method, apparatus, and computer program product for persona based gift searches for all occasions
Wei et al. Online shopping behavior analysis for smart business using big data analytics and blockchain security
Nagavalli et al. AI-Driven Product Recommendations in eCommerce: Enhancing User Engagement and Sales
KR20110020104A (ko) 코디 검색 시스템 및 서비스 제공 방법
EP4278317A1 (fr) Système, procédé, appareil et produit-programme informatique destinés à la recherche de cadeaux en fonction de la personnalité pour toutes les occasions
KR102014773B1 (ko) 소셜 커머스와 소셜 네트워크를 통한 선물 추천 방법
Rayavel et al. Optimizing user satisfaction and streamlining operations in online retail using cnn algorithm
US20250166051A1 (en) Systems and methods for generating an interactive graphical user interface
Shimizu et al. Proposal of a purchase behavior analysis model on an electronic commerce site using questionnaire data
CN113590977B (zh) 信息推荐方法、装置、电子设备和存储介质
WO2024103112A1 (fr) Système et procédé d'identification d'articles et de services d'intérêt dans un environnement en ligne
Wang et al. Mobile-Driven Deep Learning Algorithm for Personalized Clothing Design Using Multi-Feature Attributes.
Ramadhani Development Of Body-aware Fashion Recommendation Chatbot Using OpenAI Api For E-commerce
Malik et al. Hybrid Book Recommendation System Integrate with Association Rule Mining.

Legal Events

Date Code Title Description
STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE INTERNATIONAL PUBLICATION HAS BEEN MADE

PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: REQUEST FOR EXAMINATION WAS MADE

17P Request for examination filed

Effective date: 20230818

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

DAV Request for validation of the european patent (deleted)
DAX Request for extension of the european patent (deleted)
REG Reference to a national code

Ref country code: HK

Ref legal event code: DE

Ref document number: 40104502

Country of ref document: HK

REG Reference to a national code

Ref country code: DE

Ref legal event code: R079

Free format text: PREVIOUS MAIN CLASS: G06Q0030000000

Ipc: G06Q0030060100

A4 Supplementary search report drawn up and despatched

Effective date: 20240927

RIC1 Information provided on ipc code assigned before grant

Ipc: G06Q 30/0601 20230101AFI20240923BHEP

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE APPLICATION IS DEEMED TO BE WITHDRAWN