RANKING IMAGE SEARCH RESULTS USING MACHINE LEARNING MODELS

Methods, systems, and apparatus including computer programs encoded on a computer storage medium, for ranking image search results using machine learning models. In one aspect, a method includes receiving an image search query from a user device; obtaining a plurality of candidate image search results; for each of the candidate image search results: processing (i) features of the image search query and (ii) features of the respective image identified by the candidate image search result using an image search result ranking machine learning model to generate a relevance score that measures a relevance of the candidate image search result to the image search query; ranking the candidate image search results based on the relevance scores; generating an image search results presentation; and providing the image search results for presentation by a user device. 用于使用机器学习模型对图像搜索结果进行排名的方法、系统和装置，其包括编码在计算机存储介质上的计算机程序。在一个方面中，一种方法包括：从用户设备接收图像搜索查询；获得多个候选图像搜索结果；对于候选图像搜索结果中的每一个：使用图像搜索结果排名机器学习模型处理(i)图像搜索查询的特征和(ii)通过候选图像搜索结果识