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Source: https://ieoi4z.mit-edu.top/post/5627409381

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  52.            "abstract": "Predicting Player Lifetime Value Using Early Engagement Signals #967040087929 (2025-01-31)",
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  93.                    <span class="d-block text-center">Ann Gonzales</span>
  94.                    <span class="date d-block text-center small text-uppercase text-black-50 mb-5">2025-01-31</span>
  95.                    <h2 class="heading text-center">Predicting Player Lifetime Value Using Early Engagement Signals</h2>
  96.                    <p class="lead mb-4 text-center">Thanks to Ann Gonzales for contributing the article "Predicting Player Lifetime Value Using Early Engagement Signals".
  97.                    </p>
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  218.                                </a>
  219.                            </div>
  220.                            <h2 class="heading"><a href="https://ieoi4z.mit-edu.top/post/3140269875">Generative AI for Mobile Game Storytelling: A New Frontier</a></h2>
  221.                            <p class="info">This paper investigates the role of social influence in mobile games, focusing on how social networks, peer pressure, and social comparison affect player behavior and in-game purchasing decisions. The study examines how features such as leaderboards, friend lists, and social sharing options influence players’ motivations to engage with the game and spend money on in-game items. Drawing on social psychology and behavioral economics, the research explores how players' decisions are shaped by their interactions with others in the game environment. The paper also discusses the ethical implications of using social influence to drive in-game purchases, particularly in relation to vulnerable players and addiction risk.</p>
  222.                            <a href="https://ieoi4z.mit-edu.top/post/3140269875" class="post-author d-flex align-items-center">
  223.                                <div class="author-pic">
  224.                                    <img src="https://x.mit-edu.top/static/images/user/6.jpg" alt="Generative AI for Mobile Game Storytelling: A New Frontier" title="Generative AI for Mobile Game Storytelling: A New Frontier" class="lazyload">
  225.                                </div>
  226.                                <div class="text">
  227.                                    <strong>Peter Butler</strong>
  228.                                    <span>2025-01-31 published post</span>
  229.                                </div>
  230.                            </a>
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  237.                            <a href="https://ieoi4z.mit-edu.top/post/4356971082">
  238.                            <img src="https://x.mit-edu.top/static/images/post/15.jpg" alt="Reinforcement Learning for Multi-Agent Coordination in Asymmetric Game Environments" title="Reinforcement Learning for Multi-Agent Coordination in Asymmetric Game Environments" class="img-fluid lazyload">
  239.                            </a>
  240.                        </div>
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  243.                                <a href="https://blog-4356971082.mit-edu.top/post/4356971082/" target="_blank">
  244.                                <span class="date">2025-01-31</span>
  245.                                </a>
  246.                            </div>
  247.                            <h2 class="heading"><a href="https://ieoi4z.mit-edu.top/post/4356971082">Reinforcement Learning for Multi-Agent Coordination in Asymmetric Game Environments</a></h2>
  248.                            <p class="info">This research explores the role of big data and analytics in shaping mobile game development, particularly in optimizing player experience, game mechanics, and monetization strategies. The study examines how game developers collect and analyze data from players, including gameplay behavior, in-app purchases, and social interactions, to make data-driven decisions that improve game design and player engagement. Drawing on data science and game analytics, the paper investigates the ethical considerations of data collection, privacy issues, and the use of player data in decision-making. The research also discusses the potential risks of over-reliance on data-driven design, such as homogenization of game experiences and neglect of creative innovation.</p>
  249.                            <a href="https://ieoi4z.mit-edu.top/post/4356971082" class="post-author d-flex align-items-center">
  250.                                <div class="author-pic">
  251.                                    <img src="https://x.mit-edu.top/static/images/user/14.jpg" alt="Reinforcement Learning for Multi-Agent Coordination in Asymmetric Game Environments" title="Reinforcement Learning for Multi-Agent Coordination in Asymmetric Game Environments" class="lazyload">
  252.                                </div>
  253.                                <div class="text">
  254.                                    <strong>Ashley Adams</strong>
  255.                                    <span>2025-01-31 published post</span>
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