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图像序列排序算法用于商业任务

Guillaume Grelier¹, Miguel A Casal², Alvaro Torrente-Patiño^1,2

¹PhotoILike, Bergondo, Spain.

Frontiers in artificial intelligence

|May 14, 2024

概括

本研究介绍了一种对房地产图像进行排序的算法,提高了用户在虚拟平台上的参与度. 该方法使用语义相似性和遗传算法来创建直观的属性列表序列.

科学领域:

计算机科学计算机科学
人工智能的人工智能
房地产技术房地产技术

背景情况:

图像序列排序对于用户参与虚拟商业,特别是房地产的参与至关重要.
目前的方法面临的计算挑战,以获得最佳的测序.

研究的目的:

将图像序列排序正式化为一个排序问题.
开发一个高效的算法,用于房地产图像安排.

主要方法:

一个基于语义图像相似性的最短路径方法.
一个优化相似度指标特征选择的遗传算法.

主要成果:

拟议的算法成功地为85%的房地产列表以最佳顺序组织图像.
在增强虚拟平台上的用户体验方面表现出有效性.

结论:

一种用于虚拟商业平台,特别是房地产的图像分类的新方法.
该算法通过直观和连贯的图像安排来增强用户参与度.

关键词:

进化计算是一种进化计算.功能选择功能选择图像嵌入图像嵌入.图像排序图像排序图像排序房地产房地产房地产语义表示表示的语义表示.

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