A campaign recommendation system

Abstract

The present invention relates to a system (1) which enables the most suitable campaigns to be offered by analyzing the emotional state of users.

Description

[0001] DESCRIPTION

[0002] A CAMPAIGN RECOMMENDATION SYSTEM Technical Field

[0003] The present invention relates to a system which enables the most suitable campaigns to be offered by analyzing the emotional state of users.

[0004] Background of the Invention

[0005] Today, conventional recommendation engines usually take into account historical data and basic preferences of users. However, they do not offer personalization capabilities based on instant emotional states of users. In a real-time recommendation system, analysis is performed on aggregated data by storing only social media interactions of customers. However, simultaneous recommendation with complex event processing method by tracking the instantly changing emotional states of customers over multiple platforms is not enabled.

[0006] For this reason, considering the studies and deficiencies included in the current technique, it is understood that there is a need for a system which enables campaigns to be recommended instantly based on the mood changes of the user by performing real-time analysis with complex event processing

[0007] The international patent document no. WO2013123582A1, an application included in the state of the art, discloses a system for recommending a campaign based on social media interactions. In the said invention, a social networking platform is provided that includes a computer network application providing a campaign manager that enables a manager of an enterprise to define the parameters of a sales management campaign, or a learning campaign directed by the enterprise to two or more enterprise users. The campaign includes one or moredigital media objects (text, graphic content, video, audio or digital products) for consumption by the enterprise personnel in connection with the campaign and / or one or more actions required of the enterprise personnel or suggested to the enterprise personnel, for engaging with the campaign. One or more social networks are identified for enterprise personnel or a manager of the enterprise to perform actions by using social media interactions on the social network platform, and the enterprise personnel are enabled to participate in the actions or part of the actions and consume the objects or part of the objects through the social network platform. The campaign manager and the social networking platform work together so that actions and / or objects are experienced by sales personnel as part of social interactions enabled by the social networking platform. Related methods for improving sales performance are also provided.

[0008] The United States patent document no. US2015112753A1, another application included in the state of the art, discloses a system which enables management of a campaign to be carried out based on the emotional state. In the said invention, techniques are disclosed for filtering and analyzing social network content so that consumer sentiment can be gauged more accurately and efficiently, n certain embodiments social network content can be filtered so that individual content items can be identified as comprising neutral, sentiment bearing, spam or foreign language content. Such filtering can be performed by marking certain features that are indicative of a particular type of content and then using machine learning systems to classify individual content items based on the marked features. A portion of the filtered content, such as only the items containing sentiment bearing content, can then be subjected to sentiment analysis. The results of this sentiment analysis can be presented to a social network campaign manager via a sentiment browser interface, optionally with the underlying filtered content. This allows the campaign manager to easily view the results of the sentiment analysis with the filtered social network content.

[0009] Summary of the InventionAn object of the present invention is to realize a system developed with the aim of enabling the most suitable campaigns to be offered by analyzing the emotional state of users.

[0010] Another object of the present invention is to realize a system developed with the aim of enabling the right campaign recommendation to be made at the right time by monitoring the emotional changes of users instantaneously.

[0011] A further object of the present invention is to realize a system developed with the aim of enabling campaigns to be recommended instantly based on the mood changes of the user by performing real-time analysis with complex event processing.

[0012] A further object of the present invention is to realize a system developed with the aim of enabling simultaneous recommendations to be offered with a complex event processing method by tracking the instantaneously changing emotional states of customers over multiple platforms.

[0013] A further object of the present invention is to realize a system developed with the aim of enabling new campaigns to be recommended instantaneously by using user data in the form of social media data, voice commands, click history in addition to biometric data.

[0014] A further object of the present invention is to realize a system developed with the aim of enabling campaigns to be recommended instantaneously by analyzing the types of posts of the customer on social media.

[0015] Detailed Description of the Invention“A Campaign Recommendation System” realized to fulfil the objective of the present invention is shown in the figure attached, in which:

[0016] Figure l is a schematic view of the inventive system.

[0017] The components illustrated in the figure are individually numbered, where the numbers refer to the following:

[0018] 1. System

[0019] 2. User electronic device

[0020] 3. Database

[0021] 4. Server

[0022] 5. Processor

[0023] An inventive system (1) developed with the aim of enabling the most suitable campaigns to be offered by analyzing the emotional state of users comprises; at least one electronic device (2) which is configured to exchange data by using any remote communication protocol and to run at least one application thereon;

[0024] at least one database (3) which is configured to keep a record of campaigns therein;

[0025] at least one server (4) which is configured to establish connection with the user electronic device (2) by using any communication protocol; to access data on the database (3) and to save data on the database (3); to collect user behavior data in the form of click history and page navigation data through the user electronic device (2); to collect social media data in the form of posts, likes and comments made by users on social media accounts through the user electronic device (2); to collect data in the form of categories of music listened to and videos watched by users through the user electronic device (2); to collect voice commands in the form of expressions given by users via voice commands through the user electronicdevice (2); to collect biometric measurements in the form of pulse and stress level received through the user electronic device (2); to collect the behaviors of users in shopping applications through the user electronic device (2); to transmit all the data it collects; to access and transmit the facial expressions of users through the user electronic device (2); and at least one processor (5) which is configured to access data on the server (4); to process user behavior data, social media data, music and video content tracking data, voice command data, shopping data and biometric data collected through the server (4) for real-time analysis by using complex event processing technique; to enable prediction about the instant emotional state of users to be made by using algorithms in the form of machine learning and deep learning-based emotion recognition models, complex event processing algorithm, time series analysis and prediction algorithms, machine learning and deep learning algorithms, event-based systems algorithms; to categorize each campaign in the database (3) based on their respective tags; to select, from the campaigns classified based on emotional state, the ones most suitable for the instant mood of the user; to perform a new analysis when the mood of the user changes; and to enable the most suitable campaigns to be recommended to the user by updating them.

[0026] The user electronic device (2) included in the inventive system (1) is configured to exchange data by using any remote communication protocol and to run at least one application thereon. The user electronic device (2) is a device in the form of a mobile phone and / or a tablet computer. The user electronic device (2) is configured to run at least one camera configured to capture at least one image and at least one microphone configured to capture at least one sound thereon. The user electronic device (2) is configured to establish connection with the server (4) by using any remote communication protocol included in the state of the art.The database (3) included in the inventive system (1) is configured to establish connection with the server (4). The database (3) is configured to keep a record of campaigns therein.

[0027] The server (4) included in the inventive system (1) is configured to establish connection with the user electronic device (2) by using any communication protocol included in the state of the art. The server (4) is configured to establish communication with the processor (5) by using any communication protocol included in the state of the art. The server (4) is configured to access data on the database (3) and to save data on the database (3). The server (4) is configured to collect user behavior data in the form of click history and page navigation data through the user electronic device (2). The server (4) is configured to collect social media data in the form of posts, likes and comments made by users on social media accounts through the user electronic device (2). The server (4) is configured to collect data in the form of categories of music listened to and videos watched by users through the user electronic device (2). The server (4) is configured to collect voice commands in the form of expressions given by users via voice commands through the user electronic device (2). The server (4) is configured to collect biometric measurements in the form of pulse and stress level received through the user electronic device (2). The server (4) is configured to collect the behaviors of users in shopping applications through the user electronic device (2). The server (4) is configured to transmit all the data it collects to the processor (5). The server (4) is configured to access the facial expressions of the users through the user electronic device (2) and transmit them to the processor (5).

[0028] The processor (5) included in the inventive system (1) is configured to access data on the server (4). The processor (5) is configured to process user behavior data, social media data, music and video content tracking data, voice command data, shopping data and biometric data collected through the server (4) for real-time analysis by using complex event processing technique. The processor (5) is configured to enable prediction about the instant emotional state of users to bemade by using algorithms in the form of machine learning and deep learningbased emotion recognition models, complex event processing algorithm, time series analysis and prediction algorithms, machine learning and deep learning algorithms. The processor (5) is configured to analyze content from social media and text-based sources with natural language processing algorithms. The processor (5) is configured to detect the emotional state of the users from the tone of their voice via the voice-based emotion recognition model. The processor (5) is configured to enable mood inference from the facial expressions of the user via the facial expression-based emotion recognition model. The processor (5) is configured to classify all campaigns with emotional labels in the form of “happiness,” “stress,” “excitement”. The processor (5) is configured to categorize each campaign in the database (3) based on their respective tags. The processor (5) is configured to select, from the campaigns classified based on emotional state, the ones most suitable for the instant mood of the user. The processor (5) is configured to perform a new analysis when the mood of the user changes and to enable the most suitable campaigns to be recommended to the user by updating them. The processor (5) is configured to monitor the reaction of users to campaigns and to continuously update itself based on this data.

[0029] Industrial Application of the Invention

[0030] In the inventive system (1), it is enabled to make predictions about the instant emotional state of users by using algorithms in the form of machine learning and deep learning-based emotion recognition models, complex event processing algorithm, time series analysis and prediction algorithms, machine learning and deep learning algorithms, and to offer the most suitable campaigns by analyzing the emotional state of users.

[0031] The user electronic device (2), the database (3), the server (4) and the processor (5) included in the inventive system (1) provide information and confirmation tothe user in line with the data privacy principles and operate within the scope of the Law on the Protection of Personal Data (KVKK).

[0032] Within these basic concepts; it is possible to develop various embodiments of the inventive “A Campaign Recommendation System (1)”; the invention cannot be limited to examples disclosed herein and it is essentially according to claims.

Claims

CLAIMS1. A system (1) developed with the aim of enabling the most suitable campaigns to be offered by analyzing the emotional state of users; comprisingat least one electronic device (2) which is configured to exchange data by using any remote communication protocol and to run at least one application thereon;at least one database (3) which is configured to keep a record of campaigns therein;at least one server (4) which is configured to establish connection with the user electronic device (2) by using any communication protocol; to access data on the database (3) and to save data on the database (3); to collect user behavior data in the form of click history and page navigation data through the user electronic device (2); to collect social media data in the form of posts, likes and comments made by users on social media accounts through the user electronic device (2); to collect data in the form of categories of music listened to and videos watched by users through the user electronic device (2); to collect voice commands in the form of expressions given by users via voice commands through the user electronic device (2); to collect biometric measurements in the form of pulse and stress level received through the user electronic device (2); to collect the behaviors of users in shopping applications through the user electronic device (2); to transmit all the data it collects; to access and transmit the facial expressions of users through the user electronic device (2); and characterized byat least one processor (5) which is configured to access data on the server (4); to process user behavior data, social media data, music and video content tracking data, voice command data, shopping data and biometric data collected through the server (4) for real-time analysis by using complex event processing technique; to enable prediction about the instant emotional state of users to be made by using algorithms in the form ofmachine learning and deep learning-based emotion recognition models, complex event processing algorithm, time series analysis and prediction algorithms, machine learning and deep learning algorithms, event-based systems algorithms; to categorize each campaign in the database (3) based on their respective tags; to select, from the campaigns classified based on emotional state, the ones most suitable for the instant mood of the user; to perform a new analysis when the mood of the user changes; and to enable the most suitable campaigns to be recommended to the user by updating them.

2. A system (1) according to Claim 1; characterized by the user electronic device (2) which is a device in the form of a mobile phone and / or tablet computer configured to exchange data by using any remote communication protocol and to run at least one application thereon.

3. A system (1) according to Claim 1 or 2; characterized by the user electronic device (2) which is configured to run at least one camera configured to capture at least one image and at least one microphone configured to capture at least one sound thereon.

4. A system (1) according to Claim 3; characterized by the user electronic device (2) which is configured to establish connection with the server (4) by using any remote communication protocol.

5. A system (1) according to any one of the preceding claims; characterized by the database (3) which is configured to establish connection with the server (4).

6. A system (1) according to any one of the preceding claims; characterized by the database (3) which is configured to keep a record of campaigns therein.

7. A system (1) according to any one of the preceding claims; characterized by the server (4) which is configured to establish connection with the user electronic device (2) by using any communication protocol.

8. A system (1) according to any one of the preceding claims; characterized by the server (4) which is configured to establish communication with the processor (5) by using any communication protocol.

9. A system (1) according to any one of the preceding claims; characterized by the server (4) which is configured to access data on the database (3) and to save data on the database (3).

10. A system (1) according to any one of the preceding claims; characterized by the server (4) which is configured to collect user behavior data in the form of click history and page navigation data through the user electronic device (2).

11. A system (1) according to any one of the preceding claims; characterized by the server (4) which is configured to collect social media data in the form of posts, likes and comments made by users on social media accounts through the user electronic device (2).

12. A system (1) according to any one of the preceding claims; characterized by the server (4) which is configured to collect data in the form of categories of music listened to and videos watched by users through the user electronic device (2).

13. A system (1) according to any one of the preceding claims; characterized by the server (4) which is configured to collect voice commands in the form of expressions given by users via voice commands through the user electronic device (2).

14. A system (1) according to any one of the preceding claims; characterized by the server (4) which is configured to collect biometric measurements in the form of pulse and stress level received through the user electronic device (2).

15. A system (1) according to any one of the preceding claims; characterized by the server (4) which is configured to collect the behaviors of users in shopping applications through the user electronic device (2).

16. A system (1) according to any one of the preceding claims; characterized by the server (4) which is configured to transmit all the data it collects to the processor (5).

17. A system (1) according to any one of the preceding claims; characterized by the server (4) which is configured to access the facial expressions of the users through the user electronic device (2) and transmit them to the processor (5).

18. A system (1) according to any one of the preceding claims; characterized by the processor (5) which is configured to access data on the server (4).

19. A system (1) according to any one of the preceding claims; characterized by the processor (5) which is configured to process user behavior data, social media data, music and video content tracking data, voice command data, shopping data and biometric data collected through the server (4) for real-time analysis by using complex event processing technique.

20. A system (1) according to any one of the preceding claims; characterized by the processor (5) which is configured to enable prediction about the instant emotional state of users to be made by using algorithms in the form of machine learning and deep learning-based emotion recognition models, complex event processing algorithm, time series analysis and prediction algorithms, machine learning and deep learning algorithms.

21. A system (1) according to any one of the preceding claims; characterized by the processor (5) which is configured to analyze content from social media and text-based sources with natural language processing algorithms.

22. A system (1) according to any one of the preceding claims; characterized by the processor (5) which is configured to detect the emotional state of the users from the tone of their voice via the voice-based emotion recognition model.

23. A system (1) according to any one of the preceding claims; characterized by the processor (5) which is configured to enable mood inference from the facial expressions of the user via the facial expression-based emotion recognition model.

24. A system (1) according to any one of the preceding claims; characterized by the processor (5) which is configured to classify all campaigns with emotional labels in the form of “happiness,” “stress,” “excitement”.

25. A system (1) according to any one of the preceding claims; characterized by the processor (5) which is configured to categorize each campaign in the database (3) based on their respective tags.

26. A system (1) according to any one of the preceding claims; characterized by the processor (5) which is configured to select, from the campaigns classified based on emotional state, the ones most suitable for the instant mood of the user.

27. A system (1) according to any one of the preceding claims; characterized by the processor (5) which is configured to perform a new analysis when the mood of the user changes and to enable the most suitable campaigns to be recommended to the user by updating them.

28. A system (1) according to any one of the preceding claims; characterized by the processor (5) which is configured to monitor the reaction of users to campaigns and to continuously update itself based on this data.

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