基于多模态数据的旅游目的地推荐算法及其应用

雨青 郝(杭州电子科技大学经济学院，中国)

摘要

随着在线旅游平台用户规模的扩大，如何精准挖掘用户偏好、提升个性化推荐效果成为重要课题。本文针对旅游推荐中的冷启动与特征利用不足问题，提出一种基于语义检索与跨模态门控融合（MAG）的推荐方法。通过采集并预处理评论文本与配图，利用MiniLM与OpenCLIP提取多模态特征，经两层MLP对齐并以门控权重自适应融合，构建统一语义空间实现用户—景点匹配。实验结果表明，该方法在跨模态检索中显著优于固定融合基线，具备更高的推荐精度与可解释性。

关键词

旅游推荐算法；多模态融合；跨模态对齐；自适应门控（MAG）；语义检索

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DOI: http://dx.doi.org/10.12345/bdai.v6i6.34069