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

Beijing Baidu Netcom Science and Technology Co., Ltd.

Huiqiang Zhong

Cunxiang Yin

Jianping Shen

Guoqiang Xu

Jun Fang

Bin Luo

Lianghui Chen

Siqi Xu

Chenhui Liu

A method, an apparatus, a device and a storage medium for embedding user app interest are provided. The method includes: acquiring a user existing app installation list and a user app installation list within a predetermined time window, where the app includes app ID information and app category information; inputting the existing app installation list and the app installation list within the predetermined time window into a pre-trained user app interest embedding model to obtain a user app interest embedding vector. By combining the user existing app installation list information and the user recent app installation list information, the user app interest embedding vector may simultaneously reflect the user long-term interest and the user short-term interest.

Method, apparatus, device and storage medium for embedding user app interest

The present disclosure discloses a method and apparatus for expanding a query. The method comprises: calculating an image click characteristic vector of a target query based on an image click log associated with the target query; finding a similar query of the target query based on the image click characteristic vector, to obtain a candidate expansion query set of the target query; matching the target query and each candidate expansion query in the candidate expansion query set with a knowledge graph, to extract an entity word and a qualifier of the target query and an entity word and a qualifier of the each candidate expansion query; expanding the entity words and the qualifiers of the target query and the each candidate expansion query in combination with the knowledge graph; and matching using expansion results of the entity words and the qualifiers, to determine an expanded query of the target query.

Method and apparatus for expanding query

A method for retrieving an image-text block from a web page is provided, which comprises: retrieving an image node; filtering the image node to obtain candidate image nodes; traversing, for each of the candidate image nodes, a node in sequence toward an ancestor node of the candidate image node in a preset maximum traversal depth until an ancestor node with a text is visited, using the ancestor node with the text as a candidate image-text block; clustering the candidate image-text blocks based on hash values of the path information of the candidate image-text blocks; and determining, for each image-text block cluster, a common ancestor node of the candidate image-text blocks within the image-text block cluster based on the path information of the candidate image-text blocks, and determining path information of the image-text block cluster based on the common ancestor node.

Method and apparatus for retrieving image-text block from web page

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Beijing, China

Huiqiang Zhong