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Source: https://blog-580724330968.mit-edu.top/post/3096815724

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  52.            "abstract": "Predictive Models of Player Retention: A Longitudinal Study Using Game Metrics #234372005713 (2025-02-07)",
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  93.                    <span class="d-block text-center">Patrick Russell</span>
  94.                    <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-02-07</span>
  95.                    <h2 class="heading text-center">Predictive Models of Player Retention: A Longitudinal Study Using Game Metrics</h2>
  96.                    <p class="lead mb-4 text-center">Thanks to Patrick Russell for contributing the article "Predictive Models of Player Retention: A Longitudinal Study Using Game Metrics".
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  211.                            <img src="https://x.mit-edu.top/static/images/post/15.jpg" alt="Energy-Efficient AI Architectures for Computationally Intensive Mobile Games" title="Energy-Efficient AI Architectures for Computationally Intensive Mobile Games" class="img-fluid lazyload">
  212.                            </a>
  213.                        </div>
  214.                        <div class="content">
  215.                            <div class="post-meta mb-3">
  216.                                <a href="https://blog-3642975081.mit-edu.top/post/3642975081/" target="_blank">
  217.                                <span class="date">2025-02-07</span>
  218.                                </a>
  219.                            </div>
  220.                            <h2 class="heading"><a href="https://blog-580724330968.mit-edu.top/post/3642975081">Energy-Efficient AI Architectures for Computationally Intensive Mobile Games</a></h2>
  221.                            <p class="info">This paper explores the use of artificial intelligence (AI) in predicting player behavior in mobile games. It focuses on how AI algorithms can analyze player data to forecast actions such as in-game purchases, playtime, and engagement. The research examines the potential of AI to enhance personalized gaming experiences, improve game design, and increase player retention rates.</p>
  222.                            <a href="https://blog-580724330968.mit-edu.top/post/3642975081" class="post-author d-flex align-items-center">
  223.                                <div class="author-pic">
  224.                                    <img src="https://x.mit-edu.top/static/images/user/12.jpg" alt="Energy-Efficient AI Architectures for Computationally Intensive Mobile Games" title="Energy-Efficient AI Architectures for Computationally Intensive Mobile Games" class="lazyload">
  225.                                </div>
  226.                                <div class="text">
  227.                                    <strong>Christopher Robinson</strong>
  228.                                    <span>2025-02-07 published post</span>
  229.                                </div>
  230.                            </a>
  231.                        </div>
  232.                    </div>
  233.                </div>
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  237.                            <a href="https://blog-580724330968.mit-edu.top/post/5237168490">
  238.                            <img src="https://x.mit-edu.top/static/images/post/9.jpg" alt="Multi-Objective Reinforcement Learning for Player-Centric AI Design" title="Multi-Objective Reinforcement Learning for Player-Centric AI Design" class="img-fluid lazyload">
  239.                            </a>
  240.                        </div>
  241.                        <div class="content">
  242.                            <div class="post-meta mb-3">
  243.                                <a href="https://blog-5237168490.mit-edu.top/post/5237168490/" target="_blank">
  244.                                <span class="date">2025-02-07</span>
  245.                                </a>
  246.                            </div>
  247.                            <h2 class="heading"><a href="https://blog-580724330968.mit-edu.top/post/5237168490">Multi-Objective Reinforcement Learning for Player-Centric AI Design</a></h2>
  248.                            <p class="info">This longitudinal study investigates the effectiveness of gamification elements in mobile fitness games in fostering long-term behavioral changes related to physical activity and health. By tracking player behavior over extended periods, the research assesses the impact of in-game rewards, challenges, and social interactions on players’ motivation and adherence to fitness goals. The paper employs a combination of quantitative and qualitative methods, including surveys, biometric data, and in-game analytics, to provide a comprehensive understanding of how game mechanics influence physical activity patterns, health outcomes, and sustained engagement.</p>
  249.                            <a href="https://blog-580724330968.mit-edu.top/post/5237168490" class="post-author d-flex align-items-center">
  250.                                <div class="author-pic">
  251.                                    <img src="https://x.mit-edu.top/static/images/user/18.jpg" alt="Multi-Objective Reinforcement Learning for Player-Centric AI Design" title="Multi-Objective Reinforcement Learning for Player-Centric AI Design" class="lazyload">
  252.                                </div>
  253.                                <div class="text">
  254.                                    <strong>Timothy Butler</strong>
  255.                                    <span>2025-02-07 published post</span>
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