English(EN) MISApp: Multi-Hop Intent-Aware Session Graph Learning for Next App Prediction

新框架MISApp利用多跳图学习增强下次应用预测

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-03 04:00

研究人员开发了MISApp，一个用于预测用户将启动的下一个移动应用的新框架。该方法利用多跳会话图学习来捕捉复杂的转换依赖关系和不断变化的用户意图，即使在用户历史记录有限的冷启动场景下也是如此。实验表明，MISApp通过有效利用高阶结构关系和时间上下文，在准确性和实际效率方面均优于现有方法。 AI

影响这项研究通过提高下次应用预测的准确性，尤其是在具有挑战性的冷启动场景下，有可能带来更具前瞻性和个性化的移动服务。

排序理由详细介绍一种新的下次应用预测框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

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Newsworthiness bucket: Tool; 详细介绍一种新的下次应用预测框架的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.LG TIER_1 English(EN) · Yunchi Yang, Longlong Li, Jianliang Wu, Cunquan Qu · 2026-09-03 04:00

MISApp：用于下一个应用预测的多跳意图感知会话图学习

arXiv:2603.21653v2 Announce Type: replace Abstract: Predicting the next mobile app a user will launch is essential for proactive mobile services. Yet accurate prediction remains challenging in real-world settings, where user intent can shift rapidly within short sessions and user…