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

Beijing University of Posts and Telecommunications

Beijing Baidu Netcom Science and Technology Co., Ltd.

Tong Xu

Jing Wang

Hengshu Zhu

Chuan Qin

Hui Xiong

Chao Ma

Jingyu Wang

Zirui Zhuang

Chen Zhu

Lei Zhang

Wei Li

Peng Wang

Qi Qi

Chun Long Wang

Cheng Zhang

Jingbo Zhou

Li Wan

Li Cheng

Kaichun Yao

Jingshuai Zhang

Jianxin Liao

Haifeng Sun

Dazhong Shen

Xiaomin Zhu

Lejian Zhang

Qiwei Shen

Limin Fan

Shuangli Li

Yuebin Guo

Lingqi Guo

Bing Ma

The multi-turn dialogue system based on retrieval includes the following modules: a representation module, a matching module, an aggregation module and a prediction module; the multi-turn dialogue method based on retrieval includes the following steps: (1) by a representation module, converting each turn of dialogue into a cascade vector of the dialogue, and converting a candidate answer into a cascade vector of the candidate answer; (2) by a matching module, dynamically absorbing context information based on a global attention mechanism, and calculating a matching vector; (3) by aggregation module, obtaining a short-term dependence information sequence and a long-term dependence information sequence; (4) by a prediction module, calculating the matching score of the context and candidate answer involved in the matching; (5) selecting a candidate answer with the highest matching score as a correct answer.

Multi-turn dialogue system and method based on retrieval

A method, an apparatus, a device and a medium for generating a recruitment position description text are provided. The method may include: obtaining the original text related to the target position; and generating a target recruitment position description text corresponding to the target position based on the original text and a pre-trained deep neural network model.

Method, apparatus, device and medium for generating recruitment position description text

A method for multi-policy conflict avoidance in an autonomous network comprising: collecting network state information; acquiring a set of multiple policies to be verified; constructing a policy ordering space tree containing all multi-policy execution sequences; performing a depth-first traversal on the policy ordering space tree, extracting a multi-policy execution sequence to be verified, then constructing an initial simulation data plane, injecting each policy in the multi-policy execution sequence into the simulation data plane one by one in sequence, and storing a simulation data plane after each policy is inserted; detecting whether there is a conflict in the simulation data plane generated after each policy is executed, inferring dependencies among multiple policies in the conflict policy sequence, pruning the policy ordering space tree, to efficiently select and update the multi-policy execution sequence avoiding conflicts.

Method for multi-policy conflict avoidance in autonomous network

A method for determining a competitive relation of Points of Interest (POI), and a device are provided in the present disclosure. The specific implementation includes: determining POI representation data between two target POIs based on service-related data of the target POIs; and determining a competitive relation between the target POIs based on the POI representation data.

Method for determining competitive relation of points of interest, device

Embodiments of the present disclosure provide a method and apparatus for recommending a test question, and an intelligent device. The method includes: acquiring a plurality of skill entities of a post; calculating, according to the data of the post, a weight value of each of the plurality of skill entities; and acquiring, according to the weight value of each skill entity, a recommended test question of the post from a question bank.

Method and apparatus for recommending test question, and intelligent device

Embodiments of the disclosure provide a method and an apparatus for talent-post matching, a device and a medium, which relates to the field of information matching and recruitment. The method includes: determining a resume feature representing a resume to be predicted according to a post submitted and the resume to be predicted; and predicting a matching degree between the resume to be predicted and the post by using a pre-trained predictive model according to a post feature of the post and the resume feature. With the method and the apparatus for talent-post matching, the device and the medium provided in embodiments of the present disclosure, the resume and the post may be matched automatically.

Method and apparatus for talent-post matching and computer readable storage medium

A method for selecting and configuring network supernodes includes (i) in a first set period T, each node, other than a control node in a network, regularly sending information on interactions between the node and other nodes to the control node; and (ii) in a second set period T, the control node dividing the nodes into a plurality of node clusters according to the received information on interactions among the nodes and selecting supernodes from each node cluster, where each node belonging uniquely to a node cluster.

Method for selecting and configuring network supernodes

Growing community of inventors

Beijing, China

Tong Xu