JP2020035077A5 - - Google Patents

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JP2020035077A5
JP2020035077A5 JP2018159459A JP2018159459A JP2020035077A5 JP 2020035077 A5 JP2020035077 A5 JP 2020035077A5 JP 2018159459 A JP2018159459 A JP 2018159459A JP 2018159459 A JP2018159459 A JP 2018159459A JP 2020035077 A5 JP2020035077 A5 JP 2020035077A5
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repository
user
skill
function
data related
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JP2018159459A
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JP2020035077A (en
JP7231186B2 (en
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本発明では、コンピューターに、ユーザが保持するリポジトリに関するデータを、オープンソース情報データベースから取得する機能と、前記オープンソース情報データベースから取得したリポジトリに関するデータから、機械学習モデルを用いて、前記ユーザのスキルを数値で算出する機能とを実現させるためのプログラムを提供する。In the present invention, the user's skill is used by using a machine learning model from a function of acquiring data on a repository held by a user on a computer from an open source information database and data on a repository acquired from the open source information database. Provide a program to realize the function of calculating numerically.

Claims (3)

コンピューターに、
ユーザが保持するリポジトリに関するデータを、オープンソース情報データベースから取得する機能と、
前記オープンソース情報データベースから取得したリポジトリに関するデータから、機械学習モデルを用いて、前記ユーザのスキルを数値で算出する機能と
を実現させるためのプログラム。 On the computer
A function to acquire data about the repository held by the user from the open source information database , and
A function to numerically calculate the skill of the user from the data related to the repository acquired from the open source information database using a machine learning model.
A program to realize. 前記リポジトリに関するデータにはコードの言語の種別、ソースコードの構文解析、イシュー数、プルリクエスト数、スター数、及びフォロワー数の少なくともいずれか一つが含まれる請求項１に記載のプログラム。The program according to claim 1, wherein the data related to the repository includes at least one of a code language type, source code parsing, number of issues, number of pull requests, number of stars, and number of followers. 前記リポジトリに関するデータにはコードの言語の種別が含まれ、The data about the repository includes the language type of the code
前記ユーザのスキルを数値で算出する機能は、前記リポジトリに関するデータから、前記言語ごとのスキルを数値で算出する請求項１又は２に記載のプログラム。The program according to claim 1 or 2, wherein the function of numerically calculating the skill of the user is to numerically calculate the skill for each language from the data related to the repository.
JP2018159459A 2018-08-28 2018-08-28 Technology judgment support system Active JP7231186B2 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP2018159459A JP7231186B2 (en) 2018-08-28 2018-08-28 Technology judgment support system

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Application Number Priority Date Filing Date Title
JP2018159459A JP7231186B2 (en) 2018-08-28 2018-08-28 Technology judgment support system

Publications (3)

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JP2020035077A JP2020035077A (en) 2020-03-05
JP2020035077A5 true JP2020035077A5 (en) 2021-03-11
JP7231186B2 JP7231186B2 (en) 2023-03-01

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JP2018159459A Active JP7231186B2 (en) 2018-08-28 2018-08-28 Technology judgment support system

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Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP7219989B1 (en) 2021-12-24 2023-02-09 ファインディ株式会社 Program, information processing device and method
JP7568311B2 (en) 2023-02-21 2024-10-16 Ｎｅｃプラットフォームズ株式会社 Electronics

Family Cites Families (5)

* Cited by examiner, † Cited by third party
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US20140089059A9 (en) 2012-02-12 2014-03-27 Saba Software, Inc. Methods and apparatus for evaluating members of a professional community
US8719179B2 (en) 2012-04-30 2014-05-06 Gild, Inc. Recruiting service graphical user interface
EA201300375A1 (en) 2013-04-18 2014-10-30 Общество С Ограниченной Ответственностью "Умный Рекрутинг" THE METHOD OF ORGANIZING A SEARCH DATABASE USING FUZZY CRITERIA
CN106203935B (en) 2015-06-11 2019-11-05 唐锐 Technical capability evaluation and Postmatch method based on user-generated content and customer relationship
US20170293891A1 (en) 2016-04-12 2017-10-12 Linkedin Corporation Graphical output of characteristics of person

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