Baidu Online Network Technology (beijing) Co., Ltd.

Libo Fu

Su Li

Gaolin Fang

Yu Chen

Wei Xu

Heng Luo

A training data acquisition method and device, a server and a storage medium are provided. The training data acquisition method is applied to a classifier and includes the following steps: obtaining an image search target according to an input of a user; providing images to the user according to the image search target, to display the images; and selecting at least one image from the displayed images, and determining a target-classification pair as training data according to the at least one image; where the target-classification pair includes the image search target and an entity-based classification of the at least one image.

Training data acquisition method and device, server and storage medium

A training data acquisition method and device, a server and a storage medium are provided. The training data acquisition method is applied to a classifier and includes the following steps: obtaining an image search target according to an input of a user; providing images to the user according to the image search target, to display the images; and selecting at least one image from the displayed images, and determining a target-classification pair as training data according to the at least one image; where the target-classification pair includes the image search target and an entity-based classification of the at least one image. Thus, more high-quality training data can be obtained, improving the performance of a classifier.

Embodiments of the present invention disclose a method and apparatus of generating an image characteristic representation of a query, and an image search method and apparatus. The method of generating an image characteristic representation of a query comprises: acquiring a clicked image set corresponding to a target query based on an image click log of a search user; generating image characteristic vectors corresponding to clicked images in the clicked image set based on image content characteristics of the clicked images; and clustering the clicked images based on the image characteristic vectors, and using a clustering result as an image characteristic representation of the target query.

Method and apparatus of generating image characteristic representation of query, and image search method and apparatus

Embodiments of the present invention disclose a method and an apparatus of establishing an image search relevance prediction model, and an image search method and apparatus. The method of establishing an image search relevance prediction model comprises: training a pre-constructed original deep neural network by using a training sample, wherein the training sample comprises: a query and image data, and the original deep neural network comprises: a representation vector generation network and a relevance calculation network; and using the trained original deep neural network as the image search relevance prediction model. The technical solution of the present invention optimizes the existing image search technology, and has stronger capabilities than the prior art as well as various integrations and variations in terms of semantic matching between a query and an image text, semantic matching between a query and image content, click generalization and the like.

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Beijing, China

Libo Fu