G06Q30/0269

SYSTEMS AND METHODS FOR USING KEYWORDS EXTRACTED FROM REVIEWS
20230206304 · 2023-06-29 ·

Methods and systems for generating recommendations are disclosed. In some examples, from a set of positive reviews associated with a merchant offering, at least one attribute is identified and associated with the set of positive reviews, based on reviewer profiles associated with each respective positive review. The attribute is associated with the merchant offering. A match is determined between a customer attribute in a first customer profile and the at least one attribute. A set of recommendations is generated to be presented, via a customer electronic device, to a customer associated with the first customer profile, the set of recommendations including the merchant offering associated with at least one attribute.

END-TO-END USER EXPERIENCES WITH A DIGITAL ASSISTANT
20170374176 · 2017-12-28 ·

A digital assistant supported across devices such as smartphones, tablets, personal computers, wearable computing devices, game consoles, and the like includes an end-to-end user experience client that interfaces with extensions to applications and/or remote cloud-based services so that user experiences, content, or features can be integrated with the digital assistant and rendered as a native digital assistant user experience. The digital assistant is configured to perform as an active participant in a user experience from its initiation to its conclusion (i.e., from “end-to-end”) by determining the user's intent, performing tasks and actions, providing status, and interacting with the user as needed. The digital assistant utilizes proximity sensing so that its end-to-end participation in a user experience may span different physical locations. Such capability can facilitate the performance of location-specific actions including authenticating the user to gain access to locations, information, or services that would be restricted from non-authenticated users.

SYNERGY RULES FOR DISTRIBUTED PRODUCT OR SERVICE
20230206269 · 2023-06-29 ·

The present disclosure is directed to a system and method to allow sellers of products to establish individual products in a multilevel marketing (MLM) commission system, where the product is offered and sold to a first purchaser—who then actively by requesting a code, or passively, through the purchase of the product, becomes a user of the commission system. This user is provided a code such that the code may be passed onto followers of the registered user. The registered user will be allowed to advertise the product to a second purchaser and the second purchaser will be allowed to purchase the product and provide advertisements to other purchasers. Commissions paid to respective downline purchasers for a single product may be limited by a preset number of defined levels. After a product is purchased, commissions are paid out to each respective purchaser according to the defined commission levels. The system may integrate with other MLM organizations, detect potential product conflicts, and alter the commission plan for users that are members of that organization.

Real-Time Competitive Information Delivery

Providing discounts to users in a physical store location. The method includes detecting that a user has stopped at a given location in the physical store. The method further includes, based on the location, identifying a set of products. The method further includes, providing an identification of the set of products to an ad server. At the ad server an auction is initiated between different product promoters to identify ads to be provided to the user. The method further includes, receiving from the ad server one or more ads to be provided to the user based on the results of the ad auction. The method further includes, providing the one or more ads to the user.

TARGETED CONTENT PAGE GENERATION

A method of operating a health tracking system includes utilizing user profile data for a user and health parameter data received from a health tracking device associated with the user to derive parameters relating to the user. The parameters are compared to tags associated with content pages or objects to determine a relevancy or match. Particular ones of a plurality of content pages or objects are selected for delivery to the user based on the comparison.

SYSTEM AND METHOD FOR PROVIDING ADVERTISEMENT PRODUCT
20170372375 · 2017-12-28 ·

A computer-implemented method of providing an advertising product includes generating a plurality of segments by grouping similar users among a plurality of users based on a targeting condition of an advertiser; displaying a target advertising product of the advertiser for each segment of the plurality of segments; receiving feedback information according to display of the target advertising product for each segment of the plurality of segments; and adjusting the display of the target advertising product for each segment of the plurality of segments based on an efficiency of the feedback information.

DISPLAY CONTROL SYSTEM, METHOD, RECORDING MEDIUM AND DISPLAY APPARATUS NETWORK

A display control method, system, and non-transitory computer readable medium for a digital billboard display, include an attribute identification circuit configured to identify attributes of each user of a group of users viewing the digital billboard display, a content determining circuit configured to determine a content type to be displayed on the digital billboard based on an aggregation of all of the attributes of the group of users identified by the attribute identification circuit, and a display augmenting circuit configured to deliver the content type to the digital billboard display.

SYSTEM AND METHOD FOR PROMOTING A TALENT OF A USER VIA A WIRELESS NETWORK OF MOBILE CLIENT DEVICES
20170372374 · 2017-12-28 ·

A system is disclosed for promoting a talent of a user. The system includes one or more application servers accessible over a wireless network, and a plurality of mobile clients configured to access the one or more application servers over the wireless network. The application servers and the mobile clients cooperate to execute a profiler mode of operation in which details of talents of profiler users are entered at respective mobile clients and uploaded to the application servers, each of the plurality of profiler users having a corresponding rank. The application servers and mobile clients also cooperate to execute a supporter mode of operation in which supporter users, using respective mobile clients, access the details of the talents and corresponding ranks of the profiler users. The supporter mode of operation facilitates advancement of a profiler user to a higher rank through receipt of endorsements.

SYSTEM AND METHOD FOR CARD-LINKED SERVICES
20170372353 · 2017-12-28 ·

A system and method for optimizing at least one of a promotion, a targeting of the promotion, and a campaign associated with the promotion. Acceptances of the promotion are received following each user's selection of the promotion. Information representing users is received from publisher computing devices. Thereafter, respective match keys are generated that are usable to access information representing transaction accounts of each of the users. The match keys are transmitted computing device(s) having access to information representing transaction accounts. Information representing a selected one account is received. For users who redeemed the promotion, the promotion is associated with the selected one transaction account. Thereafter, as a function of the received selection of the transaction account and/or associating the promotion with a selected one transaction account, the at least one processor optimizes the promotion, a targeting of the promotion to other users, and/or a campaign associated with the promotion.

MACHINE LEARNING TO MANAGE CONTACT WITH AN INACTIVE CUSTOMER TO INCREASE ACTIVITY OF THE CUSTOMER

An approach is provided for managing a contact with an inactive customer. After grouping customers into active and inactive customers, the active customers are grouped according to activity segments corresponding to a level and style of activity. Personality traits, values, and needs of the active customers are determined. A mapping between the personality traits, values, and needs of the active customers and the activity segments is generated. Personality traits, values, and needs of an inactive customer are determined. Using the mapping and based on the personality traits, values, and needs of the inactive customer, an activity segment in which the inactive customer likely belongs is determined. Action(s) corresponding to the active customers in the determined activity segment are selected. The action(s) are applied to the inactive customer to increase a likelihood of the inactive customer becoming engaged in an activity similar to activities performed by the active customers.