Non-fungible tokens for media item samples
US-12170803-B2 · Dec 17, 2024 · US
US10313727B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-10313727-B2 |
| Application number | US-201615270854-A |
| Country | US |
| Kind code | B2 |
| Filing date | Sep 20, 2016 |
| Priority date | Aug 27, 2015 |
| Publication date | Jun 4, 2019 |
| Grant date | Jun 4, 2019 |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
A customized content selection and delivery system is operable to create a customized content channel package for a subscriber and customized content channel package to a customer premises over a content delivery network. A multi-level analysis based on measured content consumption metrics is performed to select content provider channels for the customized content channel package.
Opening claim text (preview).
What is claimed is: 1. A device to receive a customized content channel package, the device comprising: a network interface connected to a network to receive content provider channels; a decoder included in customer premises equipment to decode the content provider channels for playback; and a processor to: measure content consumption metrics and transmit the content consumption metrics to a content management database of a content selection and delivery system via the network interface, wherein the content consumption metrics comprise: whether the device was tuned to a channel of the content provider channels, how long did the device tune to the channel, how many days did the device tune to the channel, how many times did the device tune back to the channel at the same time of day, how many days since the device tuned to the channel, does the device tune to the channel on a weekly basis, does the device tune to the channel seasonally, what is an interval in tuning to the channel, and how long did the device tune to the channel relative to an overall viewing duration; and receive, from a content management server of the content selection and delivery system via the network interface, the customized content channel package comprising a plurality of the content provider channels selected based on derived metrics determined from the content consumption metrics. 2. The device of claim 1 , wherein the processor is to determine a score for each content provider channel, and the derived metrics are determined from the score for each content provider channel. 3. The device of claim 2 , wherein the score for each content provider channel comprises a high, medium or low value determined based on a distribution of content consumption metrics for each content provider channel. 4. The device of claim 3 , wherein to determine the score for each content provider channel, the processor is to determine the content provider channels that are assigned the high and low values, and assign any remaining ones of the content provider channels the medium score value. 5. The device of claim 1 , wherein the processor is to generate a plurality of customized content channel packages based on different demographics, and each customized content channel package includes the content provider channels having high scores for the different demographics. 6. The device of claim 1 , wherein the derived metrics are comprised of categories of the content consumption metrics, and the processor is to aggregate the content consumption metrics in each category to determine values for the derived metrics. 7. The device of claim 6 , wherein to aggregate the content consumption metrics in each category, the processor is to determine a definition for assigning the values for the derived metrics based on the content consumption metrics. 8. The device of claim 1 , wherein the derived metrics comprise absolute volume, normalized volume, regularity, and recency. 9. A computer-implemented method for customized content delivery over a network, the method comprising: receiving, via a network interface connected to a network, content provider channels; decoding, by a decoder of customer premises equipment, the content provider channels for playback; measuring content consumption metrics by the customer premises equipment, and transmitting the content consumption metrics to a content management database of a content selection and delivery system via the network, wherein the content consumption metrics comprises: whether a user watched a channel of the content provider channels, how long was the channel watched, how many days was the channel watched, how many times did the user come back to the channel at the same time of day, number of days since the user last watched the channel, is the user a regular weekly viewer, is the user a seasonal viewer, what is interval in tuning to the channel, and how long did the user watch the channel relative to overall viewing duration of the user; and receiving, from a content management server of the content selection and delivery system and via the network interface, a customized content channel package comprising a plurality of content provider channels selected based on derived metrics determined from the content consumption metrics. 10. The computer-implemented method of claim 9 , wherein the derived metrics are comprised of categories of the content consumption metrics, and the processor is to aggregate the content consumption metrics in each category to determine values for the derived metrics. 11. The computer-implemented method of claim 10 , wherein to aggregate the content consumption metrics in each category, the processor is to determine a definition for assigning the values for the derived metrics based on the content consumption metrics. 12. The computer-implemented method of claim 9 , wherein the derived metrics comprise absolute volume, normalized volume, regularity, and recency.
being end-user preferences (retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18) · CPC title
Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles {(information retrieval from the Internet by querying with filtering and personalisation G06F16/9535; arrangements for replacing or switching information during the broadcast H04H20/10; push services over packet-switching network H04L12/1859; adaptation of message content in packet-switching networks H04L51/063)} · CPC title
for using the result on distributors' side · CPC title
Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched (monitoring of user activities for profile generation for accessing a video database G06F16/739; protecting generic digital content where the protection is independent of the precise nature of the content G06F21/10; arrangements for monitoring the use made of the broadcast services in broadcast systems H04H60/31) · CPC title
Monitoring of end-user related data (arrangements for monitoring the users' behaviour or opinions in broadcast systems H04H60/33) · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.