The paper underscores how decentralization in sports betting addresses the
drawbacks of traditional centralized platforms, ensuring transparency,
security, and lower fees. Non-custodial solutions empower bettors with
ownership of funds, bypassing geographical restrictions. Decentralized
platforms enhance security, privacy, and democratic decision-making. However,
decentralized sports betting necessitates automated market makers (AMMs) for
efficient liquidity provision. Existing AMMs like Uniswap lack alignment with
fair odds, creating risks for liquidity providers. To mitigate this, the paper
introduces UBET AMM (UAMM), utilizing smart contracts and algorithms to price
sports odds fairly. It establishes an on-chain betting framework, detailing
market creation, UAMM application, collateral liquidity pools, and experiments
that exhibit positive outcomes. UAMM enhances decentralized sports betting by
ensuring liquidity, decentralized pricing, and global accessibility, promoting
trustless and efficient betting.

该论文介绍了在去中心化的体育博彩中通过自动化做市商 UBET AMM (UAMM) 利用智能合约和算法公平定价体育赔率的方法，建立了一个链上博彩框架，该框架确保流动性、去中心化定价和全球可访问性，从而促进了无信任和高效博彩。

区块链上使用 UBET 自动做市商进行体育博彩

Onchain Sports Betting using UBET Automated Market Maker

We study the relationship between social media output and National Football
League (NFL) games, using a dataset containing messages from Twitter and NFL
game statistics. Specifically, we consider tweets pertaining to specific teams
and games in the NFL season and use them alongside statistical game data to
build predictive models for future game outcomes (which team will win?) and
sports betting outcomes (which team will win with the point spread? will the
total points be over/under the line?). We experiment with several feature sets
and find that simple features using large volumes of tweets can match or exceed
the performance of more traditional features that use game statistics.

研究社交媒体输出与美式足球（NFL）比赛之间的关系，使用包含推特信息和 NFL 比赛统计数据的数据集构建预测模型来预测比赛结果和体育博彩结果，并发现大量推文的简单特征可以匹配或超过传统的使用比赛统计数据的特征的表现。