Beijing Baidu Netcom Science Technology Co., Ltd

Beijing Baidu Netcom Science and Technology Co., Ltd.

Shuangquan Yang

Yang Zhang

Yi Xie

Chang Liu

Lei Han

Wei Zhou

Xuan Li

Junyi Chen

Keke Zhou

Xueting Zhang

Kunpeng Ji

Dongjian Shi

Guihua Bai

The present disclosure provides a method for generating a knowledge graph, a method for mining relation and an apparatus for generating a knowledge graph. The method for generating a knowledge graph includes: obtaining an initial knowledge graph, wherein the initial knowledge graph comprises a plurality of nodes having connection relationships; determining a plurality of target map elements meeting preset property information requirements from the initial knowledge graph, in which the target map elements comprise target nodes, or target edges; and merging the plurality of the target map elements to generate a knowledge graph.

Method and apparatus for generating knowledge graph, method for relation mining

A word mining method and apparatus, an electronic device and a readable storage medium are disclosed. The method includes: acquiring search data; taking first identification information, a search sentence and second identification information in the search data as nodes, and taking a relationship between the first identification information and the search sentence, a relationship between the first identification information and the second identification information and a relationship between the search sentence and the second identification information as sides to construct a behavior graph; obtaining a label vector of each search sentence in the behavior graph according to a search sentence with a preset label in the behavior graph; determining a target search sentence in the behavior graph according to the label vector; and extracting a target word from the target search sentence, and taking the target word as a word mining result of the search data.

Word mining method and apparatus, electronic device and readable storage medium

A method for identifying a user includes: controlling an electronic device to connect to a first communication network; obtaining target behavior data of a user to be identified from a data pool corresponding to the first communication network, in which, the data pool stores at least one type of candidate behavior data of a candidate user, the candidate behavior data is obtained from a data source corresponding to a second communication network, and a security level of the first communication network is higher than a security level of the second communication network; and obtaining a category of the user to be identified by analyzing the target behavior data based on the first communication network.

Method for identifying user, storage medium, and electronic device

The present application discloses a method, an apparatus, a device, and a storage medium for intention recommendation, which relates to the field of big data, artificial intelligence, intelligent search, information flow and deep learning technologies in the field of computer technologies. A specific implementation scheme includes: receiving an intention query request carrying an intention keyword and a user identification, determining a first recommendation list according to the intention keyword and a pre-configured intention repository, where the intention repository includes at least one tree-shaped intention set, and each tree-shaped intention set includes at least one graded intention, processing intentions in the first recommendation list by using intention strategy information corresponding to the user identification to obtain a target recommendation list and output it.

Method, apparatus, device, and storage medium for intention recommendation

The present disclosure discloses a query method, an apparatus, an electronic device, and a storage medium, and relates to the technical field of spatio-temporal big data in big data technologies. The specific implementation scheme is as follows: receiving a query request sent by a terminal device, where the query request is used to request to query dynamic association relationships of a target entity and includes an identifier of the target entity and query starting and ending time; determining at least one time bucket to be queried in a query database according to the query starting and ending time, where each time bucket stores the dynamic association relationships of the target entity in a time period corresponding to the time bucket; and querying the dynamic association relationships of the target entity in the at least one time bucket according to the identifier of the target entity.

Query method, apparatus, electronic device and storage medium

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Beijing, China

Shuangquan Yang