MEDIA CONTENT BASED ADVERTISING SURVEY PLATFORM METHODS

• US 20130019258A1
• Filed: 12/30/2011
• Published: 01/17/2013
• Est. Priority Date: 07/06/2011
• Status: Active Grant

• Current Assignee: Symphony Advanced Media, Inc.
• Original Assignee: Symphony Advanced Media, Inc.
• Inventors: Bhatia, Manish, Saxon, Michael Scott, Pratt, Nigel Stephen, Gurha, Pyeush
• Granted Patent: US 9,264,764 B2
• Time in Patent Office: Days
• US Class Current: 725/13
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0245 Surveys
• CPC Class Codes: G06Q 30/0267 Wireless devices
• CPC Class Codes: H04H 60/31 Arrangements for monitoring the use made of the broadcast services
• CPC Class Codes: H04N 21/251 Learning process for intelligent management, e.g. learning user preferences for recommending movies details of learning user preferences for the retrieval of video data in a video database G06F16/739; computer systems using learning methods G06N3/08
• CPC Class Codes: H04N 21/252 Processing of multiple end-users' preferences to derive collaborative data
• CPC Class Codes: H04N 21/2541 Rights Management protecting software against unauthorised usage in a vending or licensing environment G06F21/10; security in data switching network management H04L41/28; security management or policies for network security H04L63/20; access security in wireless networks H04W12/08
• CPC Class Codes: H04N 21/25808 Management of client data terminal profiles in network data switching protocols H04L67/303
• CPC Class Codes: H04N 21/25891 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 Class Codes: H04N 21/2668 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 Class Codes: H04N 21/41265 having a remote control device for bidirectional communication between the remote control device and client device unidirectional remote control device H04N21/42204
• CPC Class Codes: H04N 21/42203 sound input device, e.g. microphone
• CPC Class Codes: H04N 21/42204 User interfaces specially adapted for controlling a client device through a remote control device; Remote control devices therefor constructive details of casings for the remote control device H01H9/0235; user interfaces for controlling a tuning device of a television receiver through a remote control H03J9/00; remote control of peripheral devices connected to a television receiver through the remote control device of the television receiver H04B1/205
• CPC Class Codes: H04N 21/4222 Remote control device emulator integrated into a non-television apparatus, e.g. a PDA, media center or smart toy remote control device for a television receiver integrated into a mobile phone H04M1/72415
• CPC Class Codes: H04N 21/42221 Transmission circuitry, e.g. infrared [IR] or radio frequency [RF]
• CPC Class Codes: H04N 21/437 Interfacing the upstream path of the transmission network, e.g. for transmitting client requests to a VOD server flow control in data networks H04L47/10; streaming protocols, e.g. RTP or RTCP, H04L65/65; scheduling or organising the servicing of application requests in data packet switching networks H04L67/60
• CPC Class Codes: H04N 21/44204 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 Class Codes: H04N 21/44218 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 methods or arrangements for recognising human body or animal bodies or body parts G06V40/10; methods or arrangements for acquiring or recognising human faces, facial parts, facial sketches, facial expressions G06V40/16; methods or arrangements for recognising movements or behaviour G06V40/20; arrangements for identifying users in broadcast systems H04H60/45
• CPC Class Codes: H04N 21/44222 : Analytics of user selections, e.g. selection of programs or purchase activity monitoring of user selections in data processing systems G06F11/34; arrangements for monitoring the user's behaviour or opinions in broadcast systems H04H60/33
• CPC Class Codes: H04N 21/44224 : Monitoring of user activity on external systems, e.g. Internet browsing
• CPC Class Codes: H04N 21/44226 : on social networks
• CPC Class Codes: H04N 21/4758 : for providing answers, e.g. voting
• CPC Class Codes: H04N 21/47815 : Electronic shopping payment schemes, payment architectures or payment protocols for electronic shopping systems G06Q20/12
• CPC Class Codes: H04N 21/4788 : communicating with other users, e.g. chatting arrangements for providing for computer conferences, e.g. chat rooms, to substation in data switching networks H04L12/1813; distributed application using peer-to-peer [P2P] networks H04L67/104
• CPC Class Codes: H04N 21/482 : End-user interface for program selection broadcast systems using EPGs H04H60/72
• CPC Class Codes: H04N 21/4821 : using a grid, e.g. sorted out by channel and broadcast time
• CPC Class Codes: H04N 21/4826 : using recommendation lists, e.g. of programs or channels sorted out according to their score
• CPC Class Codes: H04N 21/6334 : for authorisation, e.g. by transmitting a key wireless communications network key management H04W12/04; wireless communications network access security H04W12/08
• CPC Class Codes: H04N 21/812 : involving advertisement data advertising per se G06Q30/02
• CPC Class Codes: H04N 21/8545 : for generating interactive applications
• CPC Class Codes: H04N 21/8586 : by using a URL processing chained hypermedia data for information retrieval G06F16/94; information retrieval from the Internet by using URLs G06F16/955; URL in broadcast information H04H20/93; Web-based protocols H04L67/02

Abstract

The MEDIA CONTENT BASED ADVERTISING SURVEY PLATFORM METHODS (“AD-SURVEY”) transforms user advertisement exposure data via AD-SURVEY components, into ad effects data including user responses to survey questions. A method is disclosed, comprising: obtaining TV program schedule listing data including a plurality of ad tags at a server; providing the obtained TV program schedule listing data to a user mobile device, receiving a user media program selection message from the user mobile device; retrieving an ad tag associated with the user selected media program from the TV program schedule listing data; extracting key terms from the ad tags based by parsing ad contents; querying a survey question list based on the extracted key terms; generating and sending a survey question from the query to the user mobile device; and obtaining a user reaction to the survey question.

Claims

1. A media content based survey distribution and collection processor-implemented method, comprising:

obtaining TV program schedule listing data including a plurality of ad tags at a server;

providing the obtained TV program schedule listing data to a user mobile device,

receiving a user media program selection message from the user mobile device;

retrieving an ad tag associated with the user selected media program from the TV program schedule listing data;

extracting key terms from the ad tags based by parsing ad contents;

querying a survey question list based on the extracted key terms;

generating and sending a survey question from the query to the user mobile device; and

obtaining a user reaction to the survey question.

2. The method of claim 1, wherein the ad tag is related to an advertisement played during a commercial break associated with the user selected media program.

3. The method of claim 1, wherein the ad tag is related to an embedded ad placed in a scene of the user selected media program.

4. The method of claim 1, wherein the ad tag further comprises a timestamp of an ad, and information related to the advertised item.

5. The method of claim 1, further comprising:

determining a category of an advertised item based on the extracted key terms.

6. The method of claim 5, further comprising:

retrieving survey questions from the survey question list based on the determined category.

7. The method of claim 1, wherein the generated survey question is sent to the user mobile device shortly after a timestamp of the ad tag.

8. The method of claim 1, wherein the survey question is synchronized with the ad tag.

9. The method of claim 1, wherein the survey question comprises a multiple choice question.

10. The method of claim 1, wherein the survey question comprises a URL to a merchant shopping site.

11. The method of claim 1, wherein the user reaction to the survey question comprises a submission of answer to the survey question.

12. The method of claim 1, wherein the user reaction to the survey question comprises a click on a URL provided in the survey question.

13. The method of claim 1, wherein the survey question is generated based on ad tags in a user'"'"'s recent viewing history.

14. The method of claim 1, further comprising providing incentive rewards to a user after receiving an answer to the survey question.

15. The method of claim 1, further comprising analyzing ad delivery and effects.

16. The method of claim 15, further comprising:

assigning a weighing score to the user reaction to the survey question.

17. The method of claim 16, wherein the weighing score is determined based on a type of the user reaction.

18. The method of claim 16, wherein the weighing score is determined based on a user'"'"'s answer to the survey question.

19. The method of claim 1, further comprising:

obtaining user advertisement exposure data from any of mobile metering, social media, and URL capturing.

20. The method of claim 19, wherein the survey question is generated based on the obtained user advertisement exposure data.