A major challenge of recommender systems is to help users locating interesting items. Personalized recommender systems have become very popular as they attempt to predetermine the needs of users and provide them with recommendations to personalize their navigation. However, few studies have addressed the question of what drives the users' attention to specific content within the collection and what influences the selection of interesting items. To this end, we employ the lens of Information Foraging Theory (IFT) to image recommendation to demonstrate how the user could utilize visual bookmarks to locate interesting images. We investigate a personalized content-based image recommendation system to understand what affects user attention by reinforcing visual attention cues based on IFT. We further find that visual bookmarks (cues) lead to a stronger scent of the recommended image collection. Our evaluation is based on the Pinterest image collection.
翻译:推荐人系统的一项重大挑战是帮助用户查找有趣的物品。个性化推荐人系统在试图预先确定用户的需要并向他们提供使其导航个人化的建议时,已经变得非常受欢迎。然而,很少有研究涉及用户如何关注收藏中的具体内容以及哪些因素对选择有趣的物品产生影响的问题。为此,我们利用信息应用理论透镜(IFT)来显示建议,以显示用户如何利用视觉书签定位有趣的图像。我们调查一个个性化内容图像建议系统,通过强化基于IFT的视觉关注提示,了解对用户关注的影响。我们进一步发现,视觉书签(cues)导致推荐的图像收集有更强烈的气味。我们的评估以Pinterest图像收集为基础。