Systems and methods for holographically presenting items based on item compatibility with account features

Patent metadata

Field	Value
Publication number	US-12200588-B2
Application number	US-202217818641-A
Country	US
Kind code	B2
Filing date	Aug 9, 2022
Priority date	Aug 9, 2022
Publication date	Jan 14, 2025
Grant date	Jan 14, 2025

Abstract

In some embodiments, holographically displaying items based on item compatibility with user account features may be facilitated. In some embodiments, first and second mobile devices may be detected as being within a proximity threshold of a holographic display device, where the first mobile device is associated with a first user account and the second mobile device is associated with a second user account. Based on the detection, (i) navigation information of the first and second mobile devices, (ii) return value information indicating respective return values associated with candidate items, and (iii) account feature compatibility information may be obtained and inputted into a machine learning model. Despite a first candidate item being incompatible with a second account feature set for the second mobile device, a first holographic representation of the first candidate item may be displayed.

First claim

What is claimed is:

1. A system for holographically presenting items based on item compatibility with account features and user proximity to holographic display devices, the system comprising:
one or more Bluetooth beacons; and
one or more processors executing computer program instructions that, when executed, cause operations comprising:
detecting, via the one or more Bluetooth beacons, first and second wearable devices associated with first and second user accounts as being within respective distances from a holographic display device, wherein the second wearable device is detected to be a closer wearable device of closer to the holographic display device than the first wearable device, and the first wearable device is detected to be a farther wearable device farther from the holographic display device than the second wearable device;
in response to detecting the closer and farther wearable devices, determining a candidate item set comprising a first candidate item of interest to the farther user and a second candidate item of interest to the closer user;
inputting, to a machine learning model, (i) the distances of closer and farther wearable devices from the holographic display device, (ii) predicted user response value information for the first and second candidate items, and (iii) account feature compatibility information for the first and second candidate items to determine an item for presentation on the holographic display device at least while the closer and farther wearable devices are within a threshold distance from the holographic display device,
the user response value information indicating a first user response value associated with the first candidate item higher than a second user response value associated with the second candidate item,
the account feature compatibility information indicating (a) the first candidate item being compatible with a first account feature set associated with the first user account but incompatible with a second account feature set associated with the second user account and (b) the second candidate item being compatible with both the first and second account feature sets; and

despite the first candidate item being incompatible with the second account feature set for the closer wearable device, displaying a first holographic representation of the first candidate item in response to an output of the machine learning model indicating selection of the first candidate item over the second candidate item, the output of the machine learning model being based on the first user response value associated with the first candidate item being higher than the second user response value associated with the second candidate item.

2. The system of claim 1 , wherein the detection of the closer and farther wearable devices further comprises:
determining, based on the first wearable device associated with the first user account and the one or more Bluetooth beacons, a first distance between the first wearable device and the one or more Bluetooth beacons, wherein the one or more Bluetooth beacons are associated with the holographic display device;
determining, based on the second wearable device associated with the second user account and the one or more Bluetooth beacons, a second distance between the second wearable device and the one or more Bluetooth beacons; and
in response to the second distance being less than the first distance, determining that the second wearable device is closer to the holographic display device than the first wearable device and that the first wearable device is farther from the holographic display device.

3. The system of claim 1 , further comprising:
selecting, based on the user response value information of the first and second candidate items, the machine learning model from a model database, wherein the machine learning model is configured to receive hyperparameter inputs corresponding to the user response value information of the first and second candidate items.

4. The system of claim 1 , further comprising:
providing training data to the machine learning model to train the machine learning model, wherein the training data comprises (i) distances of wearable devices with respect to a holographic display device, (ii) return value information of items, and (iii) account feature compatibility information, and
wherein the machine learning model comprises sets of weights, wherein the sets of weights comprise (i) a first set of weights associated with the distances of the wearable devices with respect to a second holographic display device, (ii) a second set of weights associated with the user response value information of items, and (iii) a third set of weights associated with the account feature compatibility information, and wherein the second set of weights are weighed higher than the first set of weights and the third set of weights.

5. A method comprising:
detecting, via one or more sensors related to a holographic display device, first and second mobile devices as being within a proximity threshold of the holographic display device, the first mobile device being associated with a first user account, the second mobile device being associated with a second user account;
obtaining, based on the detection, (i) navigation information indicating respective distances of the first and second mobile devices relative to the holographic display device, (ii) user response value information indicating respective user response values associated with candidate items of a candidate item set, and (iii) account feature compatibility information indicating respective compatibilities of candidate items of a candidate item set with account feature sets associated with the first and second user accounts, the account feature compatibility information indicating (a) a first candidate item being compatible with a first account feature set associated with the first user account but incompatible with a second account feature set associated with the second user account and (b) a second candidate item being compatible with both the first and second account feature sets;
inputting, to a machine learning model, (i) the navigation information for the first and second mobile devices, (ii) the user response value information for the candidate items, and (iii) the account feature compatibility information for the candidate items to determine an item for presentation on the holographic display device; and
despite the first candidate item being incompatible with the second account feature set for the second mobile device, displaying a first holographic representation of the first candidate item in response to an output of the machine learning model indicating selection of the first candidate item over the second candidate item, the output of the machine learning model being based on a first user response value associated with the first candidate item being higher than a second user response value associated with the second candidate item.

6. The method of claim 5 , further comprising:
determining, based on the navigation information, (i) a first proximity value associated with the first mobile device and the holographic display device and (ii) a second proximity associated with the second mobile device and the holographic display device;
determining, based on the first and second proximity values, whether the second proximity value is less than the first proximity value; and
in response to the second proximity value is less than the first proximity value, determining that the second mobile device is closer to the holographic display device than the first mobile device and that the first mobile device is farther from the holographic display device.

7. The method of claim 5 , further comprising:
selecting, based on the user response value

Assignees

• Capital One Services Llc

Inventors

• Mehta Milan
• Sandhu Gurpreet Singh
• Polk Benjamin
• Adcock Lee

Classifications

• H04W4/023 Primary

  using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds · CPC title

• G06F1/163

  Wearable computers, e.g. on a belt · CPC title

• G03H2001/2242

  Multiple viewing windows · CPC title

• G03H2227/03

  Means for moving one component (G03H1/0476, G03H2001/2695 take precedence) · CPC title

• G03H1/2294

  Addressing the hologram to an active spatial light modulator · CPC title