Machine learning collaboration techniques
US-2024420212-A1 · Dec 19, 2024 · US
US10319022B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10319022-B2 |
| Application number | US-201414193795-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 28, 2014 |
| Priority date | Feb 28, 2013 |
| Publication date | Jun 11, 2019 |
| Grant date | Jun 11, 2019 |
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A multimedia commerce brand offering environment is disclosed. Herein, a method for processing a multimedia commerce service includes the steps of storing service usage pattern data of a user using the multimedia commerce service, sensing a user action from a CPE of the user using the multimedia commerce service, comparing the sensed user action with the stored service usage pattern data of the user, extracting service usage pattern data of the user in accordance with the user action, and providing recommended commerce service information respective to the extracted service usage pattern data of the user.
Opening claim text (preview).
What is claimed is: 1. A method for processing a multimedia commerce service, comprising: receiving a commerce service request of a user; configuring a service screen of the commerce service in accordance with the received commerce service request and transmitting the configured service screen; sensing a user action through the commerce service screen; storing service usage pattern data of the user corresponding to the sensed user action through the commerce service screen using the multimedia commerce service; sensing the user action from a CPE of the user using the multimedia commerce service; comparing the sensed user action with the stored service usage pattern data of the user; extracting all service usage pattern data of the user similar to the user action, based upon the compared result; deciding priority levels of the extracted service usage pattern data of the user in accordance with a pattern similarity level; and extracting the service usage pattern data of the user corresponding to a highest priority level among the decided priority levels, wherein the service usage pattern data of the user corresponding to the sensed user action includes a brand visiting path pattern including a first brand, a second brand and a third brand based on tracking data of the user; connecting the CPE to a T-commerce system for providing the multimedia commerce service; in response to connecting to the to the T-commerce system, determining native capabilities of the CPE based on a minimum set of predetermined criteria; in response to the minimum set of predetermined criteria not being met by the CPE, assigning a browser to the CPE for rendered content and connecting the CPE to a T-commerce channel for the rendered content using the assigned browser; in response the minimum set of predetermined criteria being met by the CPE, connecting the CPE to a T-commerce channel for the rendered content without assigning a browser to the CPE; transmitting brand content information to a mobile computing device paired to the CPE to access the T-commerce channel while using the CPE for another application except a CPE client application; executing to add an additional screen while accessing the T-commerce system with the CPE client application or switching applications in the CPE in the background; generating a content alignment frame defining alignment positions for first brand content corresponding to the first brand, second brand content corresponding to the second brand based and third brand content corresponding to the third brand on the brand visiting path pattern based on the rendered content; displaying the first brand content adjacent to the second brand content based on the content alignment frame; and displaying the second brand content adjacent to the third brand content based on the content alignment frame, wherein a first content alignment position for the first brand content includes a larger content area or a higher location within the content alignment frame than alignment positions for the second brand content or third brand content. 2. The method of claim 1 , wherein the brand visiting path pattern is related to a brand identifier and product identifier based upon tracking data acquired from the user's pointer trajectory. 3. The method of claim 1 , wherein the sensing a user action senses the user action based upon a direct touch of a CPE, a signal being inputted through a smart phone, a remote device, a mouse, a camera, and a microphone. 4. The method of claim 1 , wherein the providing recommended commerce service information respective to the extracted service usage pattern data of the user comprises: deciding alignment positions of contents in accordance with the content alignment frame; and providing brand information and respective product information corresponding to the decided alignment positions of the contents. 5. The method of claim 4 , wherein the contents include moving picture images, photos, and text contents. 6. The method of claim 4 , wherein the content alignment frame corresponds to a stack structure. 7. The method of claim 1 , further comprising: receiving a broadcast service; and displaying the first, second or third brand content together with the broadcast service in a picture-in-picture (PIP) manner, wherein at least one of the first, second or third brand contents is linked with the broadcast service based on data extracted from the broadcast service, and wherein at least one of the first, second or third brand contents includes product content related to an item within the broadcast. 8. A device for processing a multimedia commerce service, the device comprising: a communication module configured to transmit and receive data; and a controller configured to: receive a commerce service request of a user, to configure a service screen of the commerce service in accordance with the received commerce service request, transmit the configured service screen, to sense a user action through the commerce service screen, store the service usage pattern data of the user corresponding to the user action, store the service usage pattern data of the user corresponding to the sensed user action using the multimedia commerce service, sense the user action from a CPE of the user using the multimedia commerce service, compare the sensed user action with the stored service usage pattern data of the user, extract all service usage pattern data of the user similar to the user action, based upon the compared result, decide priority levels of the extracted service usage pattern data of the user in accordance with a pattern similarity level, extract the service usage pattern data of the user corresponding to a highest priority level among the decided priority levels, wherein the service usage pattern data of the user corresponding to the sensed user action includes a brand visiting path pattern including a first brand, a second brand and a third brand based on tracking data of the user, connect the CPE to a T-commerce system for providing the multimedia commerce service, in response to a minimum set of predetermined criteria not being met by the CPE based on determined native capabilities of the CPE, receive an assignment of a browser to the CPE for rendered content and connect the CPE to a T-commerce channel for the rendered content using the assigned browser, in response the minimum set of predetermined criteria being met by the CPE based on the determined native capabilities of the CPE, connect the CPE to a T-commerce channel for the rendered content without an assignment of a browser to the CPE, transmit brand content information to a mobile computing device paired to the CPE to access T-commerce channel while using the CPE for another application except a CPE client application, execute to add an additional screen while accessing T-commerce system with the CPE client application or switching applications in the CPE in the background, generate a content alignment frame defining alignment positions for first brand content corresponding to the first brand, second brand content corresponding to the second brand based and third brand content corresponding to the third brand on the brand visiting path pattern based on the rendered content, display the first brand content adjacent to the second brand content based on the content alignment frame, and display the second brand content adjacent to the third brand content based on the content alignment frame, wherein a first content alignment position for the first brand content includes a larger content area or a higher location within the content alignment frame than alignment positions for the second brand content or third brand content.
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