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Intelligent recruitment
Enterprise recruitment solutions include resume analysis, person position matching, talent evaluation and other application capabilities, which help enterprises save recruitment costs, shorten recruitment cycle, and free HR from daily mass resumes and trivial communication
Cooperation consulting
Function introduction
Function demonstration
Application scenarios
Technical features
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Function introduction
Resume analysis
Extract key information from resumes, uniformly parse resumes in different formats into standard structured fields, help HR understand candidates accurately and quickly, and build talent profiles
person-job fit
Semantic understanding and analysis of job requirements and resume content can recommend the most suitable position for the resume and the most suitable candidate for the position
Talent screening
According to the recruitment needs of enterprises, provide multi-dimensional and customized resume screening capabilities to help HR find candidates that meet the needs of enterprises efficiently and conveniently
Function demonstration
Application scenarios
Enterprise talent screening
Enterprise talent evaluation
Candidates apply for jobs
Enterprise talent screening
In the enterprise talent search scenario, the intelligent recruitment solution is used to transform the talent sourcing mode based on traditional search into a customized intelligent search mode to meet the personalized HR talent search needs. At the same time, recommend the most matching candidate for the interviewer intelligently, which can effectively improve the talent position matching and save recruitment costs
Cooperation cases
Baidu
Beson
Technical features
High recommendation accuracy
Relying on the AI capability of Baidu talent think tank, the intelligent recruitment algorithm is internationally leading. The research results were published in top conferences and journals such as SIGIR, KDD, IJCAI, and widely reported by well-known media such as Harvard Business Review, MIT Technology Review, etc
Deep semantic understanding
Relying on the natural language understanding ability of deep learning, feature extraction and disambiguation of resume information and position information based on deep semantic and word order features
Portrait label system
The tag data system is complete, which can realize the extraction of resume skill tags and job demand tags required by different technical work categories, and meet the enterprise recruitment needs
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Intelligent document analysis
Automatically extract the key content of the text, identify, extract and proofread structured information; Text processing scenarios such as financial laws, manufacturing communications, government media, and auditing can be applied
Technical capability
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Scenario application
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Pre sales consultation
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After sales intelligent assistant
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