AUCTION-BASED PROPOSAL SYSTEM

Abstract

The invention relates to an auction-based recommendation system on OTT (Over-the-Top) platforms that helps users choose the most suitable subscription plan among various options, while also increasing user engagement and satisfaction for the platforms. Users rate each subscription plan with a specific score, and these scores are totaled to obtain the total number of votes. The highest and second highest bidders are rewarded, and the amount invested by other participants is refunded. In this way, user participation increases, the accuracy and relevance of recommendations improve, and it becomes easier for users to choose the most suitable subscription plan.

Description

AUCTION-BASED PROPOSAL SYSTEM Technical Area The invention enhances user engagement and provides more accurate results for Over-The-Top (OTT) platforms. It relates to an auction-based bidding system that presents proposals. State of the Art Existing recommendation systems Recommendation systems suggest content based on users' interests. Systems are generally divided into two main categories: content-based filtering and collaborative. Filtering. Content-based filtering, similar to content the user has liked in the past. It suggests content that users with similar interests like. Collaborative filtering shows what others have liked. Netflix recommends content based on users' viewing history and ratings. For example, Netflix recommends content based on users' viewing history and ratings. It provides recommendations based on both content-based and collaborative filtering methods. Amazon Prime uses users' viewing history, search history, and It provides suggestions based on likes / comments. Application number KR20230095288A Similar to the systems shown as examples, based on users' past content preferences It offers a recommendation method that provides new content suggestions with the support of artificial intelligence. However, This method involves users evaluating their subscription plans and Accordingly, there is no mention of any step towards presenting plan proposals. Current Subscription Plans and Selection Process OTT platforms provide media and entertainment content (movies, TV series, sports, music, etc.) over the internet. These are services that provide (etc.). OTT platforms offer various subscription plans. Users They usually make their selection based on the following criteria:  Price: The cost of the subscription plan.  Content: The variety and quality of content offered by the plan.  Device Compatibility: The number and types of devices supported by the plan.  Quality: The resolution and streaming quality at which the content is presented. 2 For example, Disney+ offers various plans at different price points. Some plans include 4K UHD. It includes extra features such as streaming quality and support for multiple devices. Hulu, on the other hand, offers basic features. Some plans include ads, while more expensive plans offer ad-free viewing. The shortcomings of current practices are as follows: 1. Lack of Encouraging User Participation: Existing recommendation systems often It enables passive user participation. Users follow the suggested content, but this They do not actively participate in the process. User preferences and suggestions More interactive mechanisms are needed to increase their trust in the system. there are. 2. One-Way Suggestion Flow: Suggestion systems generally provide a one-way flow; that is, The system makes suggestions to the user, but it doesn't take the user's feedback into account. It does not take timely considerations into account. This limits the user experience and the recommendations. It reduces its accuracy. 3. Complexity of Subscription Plans: Choosing the most suitable subscription plan for users. Choosing can be difficult, considering the different pricing, content, and quality options available. Navigating creates complexity and can lead users to choose the wrong plan. it could be. The technical problems encountered in current applications are as follows: 1. Effectiveness of Recommendation Systems: Current recommendation systems do not fully reflect users' preferences. This may not be reflected as such. Content-based and collaborative filtering methods, It cannot respond quickly enough to users' real-time preference changes. This can cause the suggestions to become irrelevant or unnecessary for the user. 2. Insufficient User Participation: Users need to participate more actively in the suggestion process. The lack of mechanisms to provide these things reduces user satisfaction and engagement. It reduces [the impact of the previous statement]. Users can directly express their preferences and these preferences... Systems should be developed to reward them accordingly. 3. Difficulty in Choosing Subscription Plans: Users struggle to find the most suitable subscription plan. They may have difficulty choosing. The subtle differences between the various plans can lead users to make mistakes. This can lead to a choice being made, which negatively impacts user satisfaction. and increases platform exit rates. 3 In conclusion, due to the negative aspects described above and the current solutions, the subject matter... Due to its shortcomings, an improvement is needed in the relevant technical field. It has been observed. Purpose of the Invention The invention allows users to have various subscription plans on OTT (Over-the-Top) platforms. while helping users choose the most suitable option among them, the platforms also help users It was developed to increase loyalty and satisfaction. Also, similar digital content. services and subscription-based platforms (e.g., music streaming services, digital magazines, and It can also be adapted to other areas (such as newspaper subscriptions, e-book services). The proposed auction-based bidding system, suggested in the invention, is a voting system that encourages user participation. and uses a proposal mechanism. This mechanism allows users to directly express their preferences. This allows them to make decisions and choose the most suitable subscription plan. The recommendation system, developed... It uses the Bidrec algorithm. This algorithm finds the most suitable OTT based on user preferences. It recommends a subscription plan and encourages user participation. The voting system is a countdown game. It is based on the theory concept. Users rate each subscription plan with a specific score. These points are added together to obtain the total number of votes. Users must specify certain criteria to vote. a bid value is paid, and these bids are generated randomly. The highest and second highest bids are selected. Users who give bonuses are rewarded, while other participants receive a refund of the amount they deposited. This In this way, user engagement increases, the accuracy and relevance of recommendations improve, and users get the most out of their recommendations. This makes it easier for users to choose a suitable subscription plan. This increases user satisfaction and It offers platform providers additional revenue opportunities. The system offers users the most suitable subscription plans based on their budget and content preferences. This flexibility allows for plans that best meet users' needs. It allows them to choose. In addition, the customizable structure of the system allows it to adapt to different OTT platforms. Easily adaptable. The invention has the following applications:  Media and Entertainment Services those movie and TV series streaming platforms Sports broadcasts 35 Music streaming services 4  Digital Publishing Digital magazine and newspaper subscriptions e-book and audiobook platforms  Other subscription-based services Educational Platforms Health and fitness apps Game and software subscriptions The structural and characteristic features and all the advantages of the invention are given in the figures below. This becomes clearer thanks to the detailed explanation written with references to these figures. It will be understood. Detailed Description of the Invention In this detailed explanation, the preferred configurations of the invention are not merely for better understanding the subject. in order to facilitate understanding and without imposing any limiting effects It is explained. The invention encourages user engagement and optimizes Over-The-Top (OTT) platforms. It is an auction-based recommendation system that suggests subscription plans. This system allows users to... By collecting votes and proposals, it determines the plan with the most votes and distributes prizes to the participants. System users first log in to the system via the user interface screen, and They display the available subscription plans. This screen allows users to review the options. It allows them to make decisions. Users can subscribe through the voting and proposal module. They vote on the plans and enter their proposals. In this section, users cast their votes and submit their proposals. They participate by entering their values. After users' votes and proposals are collected, the system control module processes this data. This module calculates the total points accumulated for each subscription plan and identifies the highest score. The area determines the subscription plan. Also, according to the participants' offer values... It enables classification. The winning subscription is determined by the system control module. The plan and rewards are shown to users on the results screen. Rewards are awarded after notification. The participants section then kicks in, listing the highest and second highest bidders. It distributes prizes to participants and refunds the amounts invested by other participants. 35 The invention proposal system is an auction in which users can actively participate. It includes a mechanism where users vote and make proposals within a specific time period. They participate in the system. A voting system based on game theory concepts such as board counting. It is used. Each user rates their subscription plans with a certain score, and these scores are used. The total number of votes is obtained by summing them up. Users must choose a specific proposal to vote. The value is paid. These offers are randomly generated by the system and at different times. It varies in the segments. The highest bidders are rewarded, and others Participants will be refunded the amount they invested. This is for users who have been connected to the system for a long time. It encourages them to stay. The recommendation system directly incorporates users' real-time feedback and preferences. It takes into account user votes and suggestions, which become part of the recommendation process. The subscription plan with the highest rating is recommended to the user. Users vote within a certain period of time. By using this system, users play an active role. As a result of this real-time voting, users The votes are collected instantly, and the subscription plan with the most votes is immediately recommended. This is how the system works. This ensures it is dynamic and user-oriented. The recommendation system helps users easily choose the most suitable subscription plan. Users' votes and suggestions help determine the most suitable plan, and This allows users to make the best choice. Users rate subscription plans. and make a selection by submitting offers. This process allows users to determine the most suitable plan. It helps. Bid values ​​are randomly generated in each auction session. It allows users to evaluate various price options.

Claims

1. It is an auction-based bidding system for OTT platforms, and its feature is;  Users log in, view their current subscription plans, and manage their plans the user interface screen they choose from,  A voting system where users vote on subscription plans and enter their proposals. and the offer module,  It operates by collecting the votes and proposals entered, and by evaluating the proposals given by the participants. total collected for each subscription plan, classified according to their values by calculating scores, it determines the subscription plan with the highest score. system control module,  The winning subscription plan is determined by the system control module, and The results screen where the rewards are shown to users,  Distributing prizes to the participants who submitted the highest and second highest bids, and Rewarded participants who return the amounts invested to other participants It includes the module.