US20230412878A1 - System, method, apparatus, and computer program product for real-time correlation of a viewer's mood with programming recommendations from a streaming platform - Google Patents
System, method, apparatus, and computer program product for real-time correlation of a viewer's mood with programming recommendations from a streaming platform Download PDFInfo
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- US20230412878A1 US20230412878A1 US18/453,047 US202318453047A US2023412878A1 US 20230412878 A1 US20230412878 A1 US 20230412878A1 US 202318453047 A US202318453047 A US 202318453047A US 2023412878 A1 US2023412878 A1 US 2023412878A1
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44218—Detecting physical presence or behaviour of the user, e.g. using sensors to detect if the user is leaving the room or changes his face expression during a TV program
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
Definitions
- the present invention relates to programming recommendations and selections available on on-line streaming platforms, and more particularly to programming recommendations based on a viewer's mood.
- Existing streaming suggestion services are based on purely random selection or random choices which may be based on a viewer's past programming choices. Frequently, a viewer's preferred programming content may vary considerably based upon their mood at a given viewing instance. Existing streaming content suggestion services do not have the capability of determining a viewer's mood.
- a method for making streaming programming content recommendations for a viewer based upon a real-time assessment of the viewer's present mood comprises identifying the viewer's present mood by an algorithm performed by a processor; selecting movies and TV series from available streaming content platforms as a function of the viewer's mood; and presenting the movies and TV series to the viewer.
- FIG. 1 is a schematic view of a system according to an embodiment of the present invention
- FIG. 2 is a flow chart of a process according to an embodiment of the present invention.
- FIG. 3 is a flow chart of an algorithm for correlating a viewer's mood with streaming program content according to an embodiment of the present invention.
- embodiments of the present invention provide a system, method, apparatus, and computer program product for analyzing a viewer's personal and unique mood, research programming content on a plurality of streaming and cable platforms, and recommending programming content that is correlated with the viewer's assessed mood.
- the present invention Telly Moods, takes the concept of personalized entertainment recommendations to the next level.
- aspects of the present invention analyze the user's personal and unique mood, research available streaming and cable platforms, and recommend the most related movies or TV series for viewer, based on the viewer's mood.
- smart TV remote control with Telly Moods pre-installed.
- major smart TVs equipped with a surface and touch screen, the user can perform a mood test and find the most suitable movies, TV series, music, or video games.
- Mood Detector detects from voice characteristics of the viewer, the viewer's mood and finds the perfect match with movie, TV series, music, and video games.
- FIGS. 1 - 3 a representative system architecture is shown in reference to FIG. 1 .
- Elements of the system 10 may include the following:
- Smartphones ( 1 ) are going to download Telly Moods mobile App ( 2 ). From there, users 11 A utilize the app ( 2 ) to answer 3 questions. Question responses are sent to the web service ( 4 ), which is running on the server ( 3 ) and perform a “Mood-Matching” algorithm 30 by using data from a database ( 5 ) and send responses back to the user on the mobile app ( 2 ).
- the algorithm works by querying the database 5 with a specific movie or TV series production (MTV), the one required by the user at that moment, and creating a list.
- This list contains all the emotions (previously assigned to all MTVs using Natural Language Processing), except for the ones already seen by the user.
- the algorithm will compare all the elements in the list to the user emotions previously received from the Telly Mood App and give back the top k elements that match better with the user emotions (where k is the number of elements that I want).
- “Mood-Matching” algorithm will compare the answers from the user to find the right movie or TV series to watch, and it's going to show only the results that fit better with the user mood and user preferences.
- Utilization of Telly Moods may be accomplished by the following process steps:
- 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. For the same reason, 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.
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- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Social Psychology (AREA)
- Computer Networks & Wireless Communication (AREA)
- Computer Graphics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
A system, method, apparatus, and computer program product for making streaming programming content recommendations for a viewer based upon a real-time assessment of the viewer's present mood. An algorithm identifies a user's moods in real-time and finds the most suitable movies and TV series from available streaming content platforms. With an analysis of the user's personal and unique mood, research streaming and cable platforms for programming content recommendations are selected from the most related movies or TV series for the viewer.
Description
- This application claims the benefit of priority of U.S. provisional application No. 63/366,720, filed Jun. 21, 2022, the contents of which are herein incorporated by reference.
- The present invention relates to programming recommendations and selections available on on-line streaming platforms, and more particularly to programming recommendations based on a viewer's mood.
- Due to the immense TV streaming offer, viewers waste much more time looking for programming content to view, rather than watching what programming content that they may really prefer to watch.
- Existing streaming suggestion services are based on purely random selection or random choices which may be based on a viewer's past programming choices. Frequently, a viewer's preferred programming content may vary considerably based upon their mood at a given viewing instance. Existing streaming content suggestion services do not have the capability of determining a viewer's mood.
- As can be seen, there is a need for improved systems, methods, and apparatus for making streaming programming recommendations for a viewer based upon a real-time assessment of the viewer's present mood.
- In one aspect of the present invention, a method for making streaming programming content recommendations for a viewer based upon a real-time assessment of the viewer's present mood comprises identifying the viewer's present mood by an algorithm performed by a processor; selecting movies and TV series from available streaming content platforms as a function of the viewer's mood; and presenting the movies and TV series to the viewer.
- These and other features, aspects and advantages of the present invention will become better understood with reference to the following drawings, description, and claims.
-
FIG. 1 is a schematic view of a system according to an embodiment of the present invention; -
FIG. 2 is a flow chart of a process according to an embodiment of the present invention; and -
FIG. 3 is a flow chart of an algorithm for correlating a viewer's mood with streaming program content according to an embodiment of the present invention. - The following detailed description is of the best currently contemplated modes of carrying out exemplary embodiments of the invention. The description is not to be taken in a limiting sense, but is made merely for the purpose of illustrating the general principles of the invention, since the scope of the invention is best defined by the appended claims.
- Broadly, embodiments of the present invention provide a system, method, apparatus, and computer program product for analyzing a viewer's personal and unique mood, research programming content on a plurality of streaming and cable platforms, and recommending programming content that is correlated with the viewer's assessed mood. The present invention, Telly Moods, takes the concept of personalized entertainment recommendations to the next level.
- The volume of streaming programming offerings is huge, often with quality and noteworthy content. Entrusting a movie to a random choice, offered by current content recommendation platforms, means that viewers may lose the experience and thrill of watching the recommended programming selections, often finding themselves watching movies that are not in line with their tastes.
- Aspects of the present invention analyze the user's personal and unique mood, research available streaming and cable platforms, and recommend the most related movies or TV series for viewer, based on the viewer's mood.
- Also, it can produce 1) smart TV remote control with Telly Moods pre-installed. Compatible with major smart TVs, equipped with a surface and touch screen, the user can perform a mood test and find the most suitable movies, TV series, music, or video games.
- 2) Mood Detector: detects from voice characteristics of the viewer, the viewer's mood and finds the perfect match with movie, TV series, music, and video games.
- Referring to
FIGS. 1-3 , a representative system architecture is shown in reference toFIG. 1 . Elements of thesystem 10 may include the following: -
- 1.
Smartphone 11C with audio input access and internet connection Algorithm structure; - 2. Telly Moods
mobile App 11B; - 3. Server with internet connection;
- 4. Web service that handles requests and compute; Database to store all the data; and
- 6. Third party APIs.
- 1.
- As shown in
FIG. 2 , in amethod 20 according to an embodiment of the present invention, Smartphones (1) are going to download Telly Moods mobile App (2). From there,users 11A utilize the app (2) to answer 3 questions. Question responses are sent to the web service (4), which is running on the server (3) and perform a “Mood-Matching”algorithm 30 by using data from a database (5) and send responses back to the user on the mobile app (2). - The algorithm works by querying the database 5 with a specific movie or TV series production (MTV), the one required by the user at that moment, and creating a list. This list contains all the emotions (previously assigned to all MTVs using Natural Language Processing), except for the ones already seen by the user. After creating the list, the algorithm will compare all the elements in the list to the user emotions previously received from the Telly Mood App and give back the top k elements that match better with the user emotions (where k is the number of elements that I want).
- “Mood-Matching” algorithm will compare the answers from the user to find the right movie or TV series to watch, and it's going to show only the results that fit better with the user mood and user preferences.
- To realize this invention, it is necessary to create an algorithm, such as shown in reference to
FIG. 3 and all the useful procedures capable of completing the activities requested by the user, and providing the expected results in real-time. - Utilization of Telly Moods may be accomplished by the following process steps:
-
- 1) The user creates a Telly Moods profile by signing up;
- 2) Telly Moods can run on mobile App, TV App, Voice App, Watch App, Glass App;
- 3) User selects their preferred streaming services;
- 4) User choose a desired channel (TV series—movies—music—video games); User will go through a series of tests that would help the App to analyze their current mood;
- 6) Wait milliseconds for your match results, and voila. Binge the night (or day) away. Also, it can create: 1) smart TV remote control with Telly Moods pre-installed. Compatible with major smart TVs, equipped with a surface and touch screen, the user can perform a mood test and find the most suitable movies, TV series, music, or video games.
- 2) mood detector: detect from voices the user's mood and find the perfect match with movie, TV series, music, and video games.
- 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. For clarity, only those aspects of the system germane to the invention are described, and product details well known in the art are omitted. For the same reason, 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. It is further contemplated that 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. In addition, many embodiments of the present invention have application to a wide range of industries. To the extent 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. Further, to the extent the present application discloses a method, a system of apparatuses configured to implement the method are within the scope of the present invention.
- It should be understood, of course, that the foregoing relates to exemplary embodiments of the invention and that modifications may be made without departing from the spirit and scope of the invention as set forth in the following claims.
Claims (1)
1. A method for making streaming programming content recommendations for a viewer based upon a real-time assessment of the viewer's present mood, comprising:
a) identifying the viewer's present mood by an algorithm performed by a processor;
b) selecting movies and TV series from available streaming content platforms as a function of the viewer's mood; and
c) presenting the movies and TV series to the viewer.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US18/453,047 US20230412878A1 (en) | 2022-06-21 | 2023-08-21 | System, method, apparatus, and computer program product for real-time correlation of a viewer's mood with programming recommendations from a streaming platform |
| US18/536,430 US12395699B2 (en) | 2022-06-21 | 2023-12-12 | System and method for recommending media content based on user mood |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
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| US202263366720P | 2022-06-21 | 2022-06-21 | |
| US18/453,047 US20230412878A1 (en) | 2022-06-21 | 2023-08-21 | System, method, apparatus, and computer program product for real-time correlation of a viewer's mood with programming recommendations from a streaming platform |
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| US18/536,430 Continuation US12395699B2 (en) | 2022-06-21 | 2023-12-12 | System and method for recommending media content based on user mood |
| US18/536,430 Continuation-In-Part US12395699B2 (en) | 2022-06-21 | 2023-12-12 | System and method for recommending media content based on user mood |
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| US20230412878A1 true US20230412878A1 (en) | 2023-12-21 |
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| US18/536,430 Active US12395699B2 (en) | 2022-06-21 | 2023-12-12 | System and method for recommending media content based on user mood |
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| US18/536,430 Active US12395699B2 (en) | 2022-06-21 | 2023-12-12 | System and method for recommending media content based on user mood |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110134026A1 (en) * | 2009-12-04 | 2011-06-09 | Lg Electronics Inc. | Image display apparatus and method for operating the same |
| US20140298364A1 (en) * | 2013-03-26 | 2014-10-02 | Rawllin International Inc. | Recommendations for media content based on emotion |
| US20150033266A1 (en) * | 2013-07-24 | 2015-01-29 | United Video Properties, Inc. | Methods and systems for media guidance applications configured to monitor brain activity in different regions of a brain |
| US10631029B1 (en) * | 2017-01-26 | 2020-04-21 | Cox Communications, Inc. | Viewing recommendations based on sensor data |
| US20220150592A1 (en) * | 2020-11-11 | 2022-05-12 | Rovi Guides, Inc. | Systems and methods for providing media recommendations |
Family Cites Families (27)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9009773B1 (en) * | 1998-06-30 | 2015-04-14 | Cox Communications, Inc. | Method and apparatus for providing broadcast data services |
| US7689556B2 (en) | 2005-01-31 | 2010-03-30 | France Telecom | Content navigation service |
| JP4655200B2 (en) | 2005-02-01 | 2011-03-23 | ソニー株式会社 | Information processing apparatus and method, and program |
| US20090226046A1 (en) | 2008-03-07 | 2009-09-10 | Yevgeniy Eugene Shteyn | Characterizing Or Recommending A Program |
| US20140380359A1 (en) * | 2013-03-11 | 2014-12-25 | Luma, Llc | Multi-Person Recommendations in a Media Recommender |
| KR101505335B1 (en) | 2010-09-08 | 2015-03-24 | 소니 주식회사 | System and method for providing video clips, and the creation thereof |
| US10034034B2 (en) * | 2011-07-06 | 2018-07-24 | Symphony Advanced Media | Mobile remote media control platform methods |
| JP5594532B2 (en) | 2010-11-09 | 2014-09-24 | ソニー株式会社 | Information processing apparatus and method, information processing system, and program |
| US8640021B2 (en) * | 2010-11-12 | 2014-01-28 | Microsoft Corporation | Audience-based presentation and customization of content |
| US10373230B2 (en) | 2012-10-05 | 2019-08-06 | Raise Marketplace, Llc | Computer-implemented method for recommendation system input management |
| US20140228701A1 (en) | 2013-02-11 | 2014-08-14 | University Of Washington Through Its Center For Commercialization | Brain-Computer Interface Anonymizer |
| US10552479B2 (en) | 2013-04-11 | 2020-02-04 | Hungama Digital Media Entertainment Private Limited | System to search and play music |
| US9681166B2 (en) | 2014-02-25 | 2017-06-13 | Facebook, Inc. | Techniques for emotion detection and content delivery |
| US20150281783A1 (en) | 2014-03-18 | 2015-10-01 | Vixs Systems, Inc. | Audio/video system with viewer-state based recommendations and methods for use therewith |
| US20160182955A1 (en) | 2014-12-23 | 2016-06-23 | Rovi Guides, Inc. | Methods and systems for recommending media assets |
| US9729921B2 (en) | 2015-06-30 | 2017-08-08 | International Business Machines Corporation | Television program optimization for user exercise |
| US10285634B2 (en) | 2015-07-08 | 2019-05-14 | Samsung Electronics Company, Ltd. | Emotion evaluation |
| US11049147B2 (en) | 2016-09-09 | 2021-06-29 | Sony Corporation | System and method for providing recommendation on an electronic device based on emotional state detection |
| US10038929B1 (en) | 2017-03-31 | 2018-07-31 | Rovi Guides, Inc. | Systems and methods for creating a virtual channel for binge watching |
| US10939833B2 (en) | 2017-05-01 | 2021-03-09 | Samsung Electronics Company, Ltd. | Determining artery location using camera-based sensing |
| US20180324490A1 (en) | 2017-05-02 | 2018-11-08 | International Business Machines Corporation | Recommending content of streaming media by a cognitive system in an infrastructure |
| US20190012930A1 (en) * | 2017-07-10 | 2019-01-10 | Brian McAlister | Methods for facilitating addiction recovery services and devices thereof |
| CN107562850A (en) | 2017-08-28 | 2018-01-09 | 百度在线网络技术(北京)有限公司 | Music recommends method, apparatus, equipment and storage medium |
| WO2019082687A1 (en) | 2017-10-27 | 2019-05-02 | ソニー株式会社 | Information processing device, information processing method, program, and information processing system |
| CN114297620A (en) | 2019-03-24 | 2022-04-08 | 苹果公司 | User interface for media browsing application |
| US11849177B2 (en) * | 2020-11-11 | 2023-12-19 | Rovi Guides, Inc. | Systems and methods for providing media recommendations |
| US11451870B1 (en) * | 2021-08-19 | 2022-09-20 | Rovi Guides, Inc. | Methods and systems to dynamically adjust a playlist based on cumulative mood score |
-
2023
- 2023-08-21 US US18/453,047 patent/US20230412878A1/en not_active Abandoned
- 2023-12-12 US US18/536,430 patent/US12395699B2/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110134026A1 (en) * | 2009-12-04 | 2011-06-09 | Lg Electronics Inc. | Image display apparatus and method for operating the same |
| US20140298364A1 (en) * | 2013-03-26 | 2014-10-02 | Rawllin International Inc. | Recommendations for media content based on emotion |
| US20150033266A1 (en) * | 2013-07-24 | 2015-01-29 | United Video Properties, Inc. | Methods and systems for media guidance applications configured to monitor brain activity in different regions of a brain |
| US10631029B1 (en) * | 2017-01-26 | 2020-04-21 | Cox Communications, Inc. | Viewing recommendations based on sensor data |
| US20220150592A1 (en) * | 2020-11-11 | 2022-05-12 | Rovi Guides, Inc. | Systems and methods for providing media recommendations |
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| US20240114204A1 (en) | 2024-04-04 |
| US12395699B2 (en) | 2025-08-19 |
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