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Ebisu Network
1. Summary
- Description
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Project Overview
Project Overview
Ebisu Network is a unique, community-driven platform utilizing Bayesian statistics to enhance user experiences. Inspired by the tranquil area in Tokyo, known for its cozy restaurants, bars, and laid-back atmosphere, Ebisu Network leverages advanced algorithms to create an efficient and engaging environment. This project is designed to improve user interactions while fostering a sense of collaboration and precision.
About the Algorithm
Ebisu Network employs a sophisticated Bayesian-based scheduling algorithm akin to that used in Anki, an alternative to the traditional SM-2 model. This cutting-edge approach adjusts intervals based on recall probability, constantly refining its assessments. This algorithm ensures accurate interval calculations and adaptability, resulting in seamless user experiences.
Key Features
- Efficient Data Management: The centrally integrated platform enables fluid processing and data retrieval.
- User-Focused Customizations: Ebisu Network incorporates adjustable parameters for preferred review schedules and interval growth.
- Informed Learning Paths: Cards implement the Bayesian model from the first review, ensuring accurate learning and recall.
Benefits
- Improved Efficiency: Integrated tools and seamless data integration reduce time-wasting and enhance productivity.
- Increased Accuracy: Bayesian statistics ensure optimal interval growth and accurate recall probabilities.
Potential Applications
- Digital Learning Platforms: Offers better learning and recall experiences with its advanced scheduling algorithm.
- Telecommunications: Provides an ideal structure for companies dealing with large volumes of data and multi-faceted services in need of efficient integration.
Purpose
Ebisu Network aims to make data management and learning processes more streamlined and able to model real-world scenarios while providing flexibility in its implementation.
Price | |
52W High price | $10.05 |
52W High date | 20th Aug 2021 (3 years ago) |
All Time High (ATH) Date | 10th Feb 2025 (1 week ago) |
All Time Low (ATL) Date | 10th Feb 2025 (1 week ago) |
Supply & Trading Volume | |
Trading Volume (24h) | $1,933.00 |
How does Ebisu Network's () performance compare to the median performance for assets of a similar market capitalization?
30 Day Return
%
1.4%
Similar Market Cap
No GitHub repos found. Either the project is not open source or we don't have data yet.
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Historic data is only available from 22nd April 2022
Total Followers
Reddit Subscribers | |
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Active Reddit Users (past 24h) | |
Discord users | |
Active Discord Users | |
Telegram Users | 216 |
Twitter followers |
No recent news found.
Always do your own research (DYOR) before making any investment. Here's some links you might find helpful:
Website | https://ebisunetwork.io/ |
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Explorer | https://bscscan.com/token/0x48974e3b93575b8249fd79... |
What is the correct contract address for Ebisu Network?
Binance-smart-chain | 0x48974e3b93575b8249fd797efa47ec8feebf0b64 |
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Has Ebisu Network been audited for security?
No security audits found for this project.
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