Similarity Learning System and Similarity Learning Method
OwnerYoshihiko Suhara, Hideki Awashima +1inventors
InventorsYoshihiko Suhara, Hideki Awashima, Hidekazu Oiwa
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OwnerYoshihiko Suhara, Hideki Awashima +1inventors
InventorsYoshihiko Suhara, Hideki Awashima, Hidekazu Oiwa
Estimating the term…
Even if the number of documents for the number of words is insufficient, appropriate similarity degree learning is performed. An analysis method by a topic model is used to perform learning of a degree of similarity between recruitment information and resume information. By analyzing recruitment information registered with a recruitment card database DB 310 and resume information registered with a resume database DB 320 using a topic model, a characteristics extracting portion 330 collects words (keywords) extracted from documents constituting the recruitment information and the resume information for each topic; and a similarity degree learning portion 360 performs similarity degree learning for each topic.
A similarity degree learning system used at a time of selecting, based on a piece of recruitment information of a company and pieces of resume information about job seekers, a job applicant candidate desired by the company, the similarity degree learning system comprising:
A similarity degree learning method used at a time of selecting, based on a piece of recruitment information of a company and pieces of resume information about job seekers, a job applicant candidate desired by the company, the similarity degree learning method comprising the steps of:
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