SYSTEM AND METHOD FOR BRAND MONITORING AND TREND ANALYSIS BASED ON DEEP-CONTENT-CLASSIFICATION

• US 20160086213A1
• Filed: 12/01/2015
• Published: 03/24/2016
• Est. Priority Date: 10/26/2005
• Status: Active Grant

• Current Assignee: Cortica Ltd.
• Original Assignee: Cortica Ltd.
• Inventors: Raichelgauz, Igal, Odinaev, Karina, Zeevi, Yehoshua Y.
• Granted Patent: US 9,792,620 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06N 5/02 Knowledge representation; Symbolic representation
• CPC Class Codes: G06Q 30/0201 Market modelling; Market analysis; Collecting market data
• CPC Class Codes: G06Q 30/0245 Surveys
• 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 21/466 Learning process for intelligent management, e.g. learning user preferences for recommending movies services using the results of monitoring in broadcast systems H04H60/61
• CPC Class Codes: H04N 21/8106 involving special audio data, e.g. different tracks for different languages
• CPC Class Codes: H04N 7/17318 Direct or substantially direct transmission and handling of requests

Abstract

A system and method for matching an advertisement item to a multimedia content element based on sentiments. The method comprises: extracting at least one multimedia content element from a web-page requested for display on a user node; generating a signature for each of the at least one multimedia content element, wherein each signature represents a concept, wherein each concept is an abstract description of one of the at least one multimedia content element; correlating the concepts of the generated signatures to determine a context of the at least one multimedia content element, wherein the context indicates at least a brand sentiment; searching for at least one advertisement item based on the signatures and the context; and causing a display of the at least one advertisement item within a display area of the web-page.

Claims

1. A method for matching an advertisement item to multimedia content elements based on sentiments, comprising:

extracting at least one multimedia content element from a web-page requested for display on a user node;

generating a signature for each of the at least one multimedia content element, wherein each signature represents a concept, wherein each concept is an abstract description of one of the at least one multimedia content element;

correlating the concepts of the generated signatures to determine a context of the at least one multimedia content element, wherein the context indicates at least a brand sentiment;

searching for at least one advertisement item based on the signatures and the context; and

causing a display of the at least one advertisement item within a display area of the web-page.

2. The method of claim 1, further comprising:

storing the context, a time stamp, and the generated signatures in a database.

3. The method of claim 1, wherein correlating the concepts of the generated signatures to determine a context of the at least one multimedia content element further comprises:

establishing a strong context, wherein the brand sentiment is set based on the strong context.

4. The method of claim 3, wherein the strong context is established based on at least one of:

a volume of appearances of the brand throughout a plurality of web sources including a plurality of multimedia content elements, and a number of concepts satisfying a predefined condition being set respective of a particular brand sentiment.

5. The method of claim 4, wherein the particular brand sentiment is any of:

a positive sentiment, a neutral sentiment, and a negative sentiment.

6. The method of claim 5, wherein the displayed at least one advertisement is associated with a positive sentiment.

7. The method of claim 1, wherein the at least one advertisement item is displayed when a user gesture of a user is detected by a user node.

8. The method of claim 7, wherein the user gesture is any of:

a scroll on the media content, a press on the media content, and a response to the media content.

9. The method of claim 1, further comprising:

clustering the generated signatures into a signature cluster, wherein the at least one advertisement is searched for based further on the signature cluster.

10. A non-transitory computer readable medium having stored thereon instructions for causing one or more processing units to execute the method according to claim 1.

11. A system for matching an advertisement item to a multimedia content element based on sentiments, comprising:

a processing unit; and

a memory, the memory containing instructions that, when executed by the processing unit, configures the system to;

extract at least one multimedia content element from a web-page requested for display on a user node;

generate a signature for each of the at least one multimedia content element, wherein each signature represents a concept, wherein each concept is an abstract description of one of the at least one multimedia content element;

correlate the concepts of the generated signatures to determine a context of the at least one multimedia content element, wherein the context indicates at least a brand sentiment;

search for at least one advertisement item based on the signatures and the context; and

cause a display of the at least one advertisement item within a display area of the web-page.

12. The system of claim 11, wherein the system is further configured to:

store the brand sentiment, a time stamp, and the generated signatures in a database.

13. The system of claim 11, wherein the system is further configured to:

establish a strong context, wherein the brand sentiment is set based on the strong context.

14. The system of claim 13, wherein the strong context is established based on at least one of:

a volume of appearances of the brand throughout a plurality of web sources including a plurality of multimedia content elements, and a number of concepts satisfying a predefined condition being set respective of a particular brand sentiment.

15. The system of claim 14, wherein the particular brand sentiment is any of:

a positive sentiment, a neutral sentiment, and a negative sentiment.

16. The system of claim 15, wherein the displayed at least one advertisement is associated with a positive sentiment.

17. The system of claim 11, wherein the at least one advertisement item is displayed when a user gesture of a user is detected by a user node.

18. The system of claim 17, wherein the user gesture is any of:

a scroll on the media content, a press on the media content, and a response to the media content.

19. The system of claim 11, wherein the system is further configured to:

cluster the generated signatures into a signature cluster, wherein the at least one advertisement is searched for further based on the signature cluster.