PERSONALIZED MONITORING MODE CREATION SYSTEM

Abstract

This invention relates to a system (1) that provides dynamic integration of live broadcasts and VOD (Video On Demand) content, allowing users (A) to control the content broadcast on television channels at specific intervals, thus enabling them to control the broadcast stream. The system (1) allows multiple users (A) to watch different content at different times on the same broadcast channel. In this way, when user (A) starts watching content, they can start watching the same content from where they left off in the live stream or from the beginning.

Description

1 TARIFF PERSONALIZED MONITORING MODE CREATION SYSTEM Technical Area This invention enables live streaming and VOD (Video On Demand). 5 that enable dynamic integration of content in live broadcasts of television channels It offers users the ability to control the published content at specific intervals, and It relates to a system that allows users to control the streaming of content. State of the Art Today's Over-The-Top (OTT) platforms offer a wide range of media content. By offering this, it allows users to access a variety of content such as series, movies, and live streams. 10 On current digital streaming platforms, users can watch live streams at that moment. If a VoD content is being broadcast, users are only allowed to watch half of it. They remain. Also, these types of channels usually have a linear streaming format. This This situation negatively impacts users' viewing experience and... This causes users to switch to other channels. 15 Current solutions handle live streams and VOD (Video on Demand) content dynamically. It has limitations in integration and suffers from some technical problems. Popular OTT technical problems of their platforms;  Users who watch the same VOD content at different times lack of personalized experiences, 20  Users cannot resume from where they left off or access the content under their own control. inability to intervene according to the available options,  Live streams cannot be resumed from where they left off, specific to the user.  Presenting users with a linear flow, the flow being combined with personalized VoD content Instead of filling it in, a steady flow is offered to users, and therefore 25 negative impact on the experience They can be listed as follows. Below, the technical problems and shortcomings of current applications are detailed. 2  Lack of Personalized Live Streaming and VOD Integration: The problem: OTT platforms based on users' viewing habits. during live broadcasts he watches VoD (series, movies, etc.) broadcast on channels The content follows a linear flow and is not under the user's control. Effect: In live streams, users are more likely to stay engaged with the content offered by the channel. They are obligated to do so. If the user misses the start times, they will have to re-enter the content. It is not possible to track it. A personalized experience is not available. Elements Used: Personalized data analysis, manifest Combining, adaptive bitrate adjustments.  Lack of Real-Time Personalization: 10 The problem: Users are forced to watch the same content, and regarding this content... A consistent process exists. Everyone receives the same content within the same timeframe. It is presented outside of our control. Personalization is not available. The effect: The user is forced to watch only what is offered on the same channel. This also negatively impacts the user experience. 15  Deficiencies in Quality Control and Optimization: Problem: Switching between live streams and VOD content There may be buffering times or quality degradation. The effect: These transition times affect the user's attention span and engagement time. It reduces its potential. The user's focus may shift elsewhere. 20 Today, live streaming and VOD (Video on Demand) By enabling the dynamic integration of content, it provides users with personalized tracking. Structures that form the basis of the mode are needed. Patent application number TR2021 / 020313, which is included in the prior art. in the document, 25 that broadcast moving image and sound over an internet protocol the dialogues in the content watched live on electronic devices are transcribed into text Translation, analysis, and on-demand video (VOD) based on the analysis results. A system is described that allows at least one of the contents to be recommended. The subject is mentioned in the application document as live broadcasts and VOD (Video On Demand). It enables the dynamic integration of (video) content for 30 television channels. Users have the ability to control the content broadcast during live streams at specific intervals. a structure that provides and thus allows users to control the streaming of content Not offered. 3 In conclusion, solutions that address the needs described above are relevant to the subject. Due to its shortcomings, it has become necessary to make improvements in the relevant technical field. Brief Description of Find The invention was created by drawing inspiration from existing situations and overcoming the aforementioned drawbacks. It aims to solve. 5 The purpose of this invention is to enable live streaming and VOD (Video on Demand). enabling dynamic integration of content in live broadcasts of television channels It offers users the ability to control the published content at specific intervals, and thus creating a system that allows users to control the streaming of content. It is to be placed. 10 The system allows multiple users to broadcast different content at different times on the same channel. This allows the user to monitor the content when they start watching it. The player can choose to start the same content from where they left off in the live stream or from the beginning. The system optimizes the personal viewing experiences of different users over the same channel. Personal profile management that records each user's tracking point 15 This allows the user to restart the broadcast; the content will be from the beginning. can start, continue content from where it left off, and resume live broadcasts from where they left off. It can continue from where it left off. The solution offered by the system involves cloud-based monitoring of users' viewing history. It is synchronized with the structure and each monitoring session is made unique. 20 is being brought in. The system primarily collects data. Artificial intelligence analyzes movie and TV series viewing habits and... It gathers information about the channel being watched. Then, the collected data is processed. This... During the process, the data is cleaned and classified with its corresponding tag. For example, the movie watched, The categories are divided into different categories based on factors such as actors, production details, and viewing time. 25 After data processing is complete, user analysis is performed. This analysis examines the user's... By analyzing viewing history and preferences, it is determined which types of broadcasts and VoD the user watches. The content is determined to be of interest to the user. Finally, the system provides suggestions and presentations. This is implemented. When a user opens or watches a channel, the settings for VoD are defined. In December, AI automatically found content on channel 30 that best suited the user's interests. By combining these elements, it provides a seamless stream of personalized content. 4 The structural and characteristic features and all the advantages of the invention are given in the figure below. Thanks to the detailed explanation written with references to the diagram, it becomes clearer. This will be understood, and therefore the evaluation should also take this detailed explanation into account. It needs to be done by taking precautions. Figure 5 will help in understanding the discovery. Figure 1 is a schematic representation of the system that is the subject of the invention. Explanation of Part References 1. System 2. Interface module 3. Monitoring module 10 4. Data analytics and big data module 5. Adaptive learning module 6. Profile analysis module 7. TV channel module 8. VoD sequence analysis module 15 9. VoD2Live production module A. User Detailed Description of Find In this detailed description, the preferred configurations of the system (1) that is the subject of the invention are: It is explained solely for the purpose of better understanding the subject. 20 This invention enables live streaming and VOD (Video On Demand). enabling dynamic integration of content in live broadcasts of television channels offering users (A) control over the published content at certain intervals and a system (1) that enables users to control the (A) broadcast stream It is related. 25 Data is collected in the system (1). Artificial intelligence, movie and TV series viewing habits It collects information about the channel being watched. The collected data is then processed. This... During the process, the data is cleaned and classified with its corresponding tag. For example, the movie watched, The category is divided into different categories based on factors such as actors, production details, and viewing time. After data processing is complete, user (A) analysis is performed. In this analysis, user 5 (A) By analyzing viewing history and likes, it can be determined which types of posts the user (A) watches and VoD content is determined to be of interest to the user. Finally, the system (1) provides suggestions and presentations. This is implemented. When user (A) opens or watches channel, the VoD is set. In December, artificial intelligence automatically finds content that best suits the user's (A) interests. By integrating it with the channel, it offers a seamless stream of personalized content. 10 The system that is the subject of the invention, the schematic representation of which is given in Figure 1 (1);  to users (A) OTT (Over The Top - TV over the Internet) platform (A) monitoring users for analysis that enables them to interact collecting users' habits and preferences, (A) live streaming content offering interface module (2), 15  API (Application Programming Interface) working with integration, the interface displays the content that users (A) are watching. collecting from module (2) and saving to the database, so that users (A) Tracking creates a system that shows what types of content people watch and for how long. module (3), 20  Monitoring and tracking using big data analytics and data mining techniques (A) the content watched by users recorded in the module (3) and users (A) Data analytics and big data module (4) which analyzes interactions,  Using machine learning and adaptive algorithms, (A) will be presented to users personalized suggestions, adapted to users' (A) behavior and data 25 According to the analysis results performed in the analytics and big data module (4) adaptive learning module that constantly updates the generated recommendations (5),  Monitoring of users updated via the adaptive learning module (5) (A) machine learning that analyzes data related to background and interests 30 that create dynamic, user-specific VoD content lists using techniques (A) and the profile analysis module (6) which sends this content list to the interface module (2),  a content analysis list that uses machine learning and data analytics techniques after transferring from the profile analysis module (6) to the interface module (2) TV channel module (7) which activates and identifies gaps in live content, 6  Taking into account the gaps in live content determined by the TV channel module (7) working by taking advantage of the VoD time assigned to live broadcasts. by filling the channel that users (A) are watching with VoD2Live content and this in this way users (A) are offered a seamless experience tailored to their needs. VoD sequence analysis module (8) and 5 which allows monitoring of content  Places the selected content appropriately within a specific area of ​​the channel, multiple users on the broadcast channel (A) different content at different times enabling users to watch (A) content When it starts, they can either continue from where they left off in the live stream or from the beginning with the same content. VoD2Live production module (9) 10 that enables them to start It includes. In the system (1) in general;  Collection of user (A) monitoring data,  Creating a content pool with the collected data,  Adding this content to the live broadcast on a personalized basis, 15  Continuous content updates to increase personalization,  Adding personalized content to the live channel and providing a seamless experience The processes are being carried out. In the system (1), the data collection process is carried out first. User (A), When the user logs into the platform, the interface module (2) displays the user's (A) monitoring preferences. It presents an interactive screen designed to help the user understand (A) better. First, they analyze the series they've watched, the genres they like, and even the content they've left unfinished. Same At the time the system (1) monitors which content the user (A) can access through the monitoring module (3) It records where the action was started. For example, an action that user (A) started last week It is determined that the series stopped at the third episode. 25 The system (1) also enables the user (A) thanks to the data analytics and big data module (4). It addresses the viewing habits in a broader context. The system (1) examines the user's (A) most The genres he watches most often are action and comedy, for example, and romantic dramas. It can determine that they usually quit quickly. This data is part of a personalized recommendation system. It forms the basis. 30 7 Data processing and user (A) analysis as the second operation in the system (1). All monitoring data collected from user (A) is used for adaptive learning. The module (5) is analyzed by the user. The adaptive learning algorithm used is the user's (A) past monitoring behavior and other users on the platform (A) Based on similar preferences, it creates a dynamic pool of content recommendations. For example, 5 The action movies watched by user (A) are analyzed and user (A)'s favorite is determined. The content appears to be fast-paced and contain humorous elements. User (A) remained VoD content and your favorite actors that you might want to continue from where you left off. New sequences are determined. At this time, the profile analysis module (6) is activated and the user (A) It creates a more detailed profile. The system (1) takes a new action 10 for the user (A). One can foresee that instead of watching a TV series, he might prefer to watch a movie he started but didn't finish in the past. And accordingly, they can make a suggestion. Personalized recommendation and content delivery as a third process in the system (1) This is performed. When user (A) opens a live channel on the platform, VoD sequence analysis is performed. Module (8) analyzes the broadcast schedule of the channel that the user (A) is watching. For example, TV channel 15 an advertisement during the live stream of an action sequence published in module (7) If entry is expected, the system (1) will fill this gap if the user (A) has started it earlier. He fills it with unfinished VoD content. In this process, the VoD2Live production module (9) continues from where the user (A) left off. It automatically prepares a flow that can be managed. 20 For example, the following options appear on the user's (A) interface module (2) screen:  Continue watching VoD content along with the live stream.  Watch the entire VoD content from the beginning.  Switch to live stream and watch the current broadcast. Even when user (A) selects the third option, the system (1) will save the live stream content for 25 minutes. It can start from where it missed the previous point. In this way, user (A) does not miss any details. It maintains an uninterrupted viewing experience. The system is dynamically updated as the fourth and final process (1). Content recommendations are made. User (A) watches the broadcast while the system (1) is actually It analyzes the user's (A) behavior over time. For example, user (A) is monitored 30 If it rewinds frequently during the process, the system (1) will take this behavior into account and VoD 8 It offers shorter, more summarized versions of the content. Long scenes from live broadcasts. In order to attract the attention of the user (A) during this time, quick clips from popular content or Summaries are recommended. Throughout this process, all recommendations are made possible thanks to the adaptive learning module (5). It is constantly updated. User (A)'s tracking experience is improved with each interaction. It is personalized. 5 As a result, the system provides users with (A) a seamless and personalized monitoring experience. In the system, (1) user's (A) platform experience is not available in existing OTT solutions. It has been optimized in this way. User (A) can watch live streams and VoD simultaneously. It maintains complete control over accessing its contents. The system (1) has elements that it possesses. Thanks to its integration, the user (A) can not only watch but also access content 10 It offers the possibility of control. This approach allows the user (A) to stay on platform (A) for a longer period of time. to increase their engagement with the platform and at the same time their content consumption It enables them to increase their rates.

Claims

9 REQUESTS 1. Live broadcasts and VOD (Video On Demand) content enabling dynamic integration in live broadcasts of television channels. offering users (A) control over the published content at specific intervals and This is a system that enables users to control the (A) broadcast stream (1) 5 Its characteristic is;  to users (A) OTT (Over The Top - TV over the Internet) platform (A) that enables users to interact for analysis. collecting viewing habits and preferences, providing users with (A) live interface module (2) that provides broadcast content, 10  API (Application Programming Interface) (A) works with interface integration, showing users the content they watch. collecting from the interface module (2) and saving it to the database, thus a shows what types of content users (A) watch and for how long structure-forming monitoring tracking module (3), 15  Monitoring and tracking using big data analytics and data mining techniques (A) the content watched by users recorded in the module (3) and Data analytics and big data that analyze users' (A) interactions module (4),  Using machine learning and adaptive algorithms to provide users (A) 20 personalize the suggestions to be presented, according to the users' (A) behavior adapted and performed in the data analytics and big data module (4) Continuously updating the recommendations based on the analysis results adaptive learning module (5),  Users updated via the adaptive learning module (5) (A) 25 machine that analyzes data on viewing history and interests dynamic, user-specific VoD content using learning techniques profile that creates the list and sends this content list to the interface module (2) analysis module (6),  Content analysis using machine learning and data analytics techniques 30 from the profile analysis module (6) to the interface module (2) It kicks in after the transmission and identifies gaps in the live content. TV channel module (7),  Gaps in live content determined by the TV channel module (7) Working with consideration, VoD assigned to live broadcasts in accordance with the duration, the channel that users (A) are watching is VoD2Live by filling it with content and thus enabling users to (A) have an uninterrupted experience 5 that allow them to watch content specifically tailored to their needs through experience VoD sequence analysis module (8) and  Selected content and place it in a suitable area within the channel. placing multiple users (A) on the same broadcast channel This allows them to watch different content at different times, and thus When users (A) start watching content, they can watch the same content live if they wish. They can start over from where they left off in the flow if they want. VoD2Live production module (9) It includes.

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