Image collection summarization techniques aim to present a compact representation of an image gallery through a carefully selected subset of images that captures its semantic content. When it comes to web content, however, the ideal selection can vary based on the user's specific intentions and preferences. This is particularly relevant at Booking.com, where presenting properties and their visual summaries that align with users' expectations is crucial. To address this challenge, we consider user intentions in the summarization of property visuals by analyzing property reviews and extracting the most significant aspects mentioned by users. By incorporating the insights from reviews in our visual summaries, we enhance the summaries by presenting the relevant content to a user. Moreover, we achieve it without the need for costly annotations. Our experiments, including human perceptual studies, demonstrate the superiority of our cross-modal approach, which we coin as CrossSummarizer over the no-personalization and image-based clustering baselines.

通过分析用户评论并提取用户提到的最重要的方面，在不需要昂贵的注释的情况下，将用户的意图考虑在物业可视化摘要中，通过采用跨模态的方法，我们增强了摘要，向用户呈现相关内容，实验包括人类感知研究证明了我们的CrossSummarizer方法优于无个性化和基于图像聚类的基线方法。

利用评论进行分段个性化图像集合总结