JP2021071957A5 - - Google Patents

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JP2021071957A5
JP2021071957A5 JP2019198690A JP2019198690A JP2021071957A5 JP 2021071957 A5 JP2021071957 A5 JP 2021071957A5 JP 2019198690 A JP2019198690 A JP 2019198690A JP 2019198690 A JP2019198690 A JP 2019198690A JP 2021071957 A5 JP2021071957 A5 JP 2021071957A5
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learning model
data
information processing
feature data
processing device
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JP2021071957A (en
JP7464814B2 (en
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本発明は、学習モデルを管理する情報処理装置であって、検索条件に従って検索されたデータに基づいて第1の特徴データを決定する決定手段と、前記決定された第1の特徴データと、学習モデルに関連付けられた第2の特徴データとに従って、複数の学習モデルの候補から学習モデルを選定する選定手段とを備えることを特徴とする。
The present invention is an information processing apparatus for managing a learning model, comprising : determination means for determining first feature data based on data retrieved according to a search condition; the determined first feature data; and selection means for selecting a learning model from a plurality of learning model candidates according to second feature data associated with the learning model .

Claims (7)

学習モデルを管理する情報処理装置であって、
検索条件に従って検索されたデータに基づいて第1の特徴データを決定する決定手段と、
前記決定された第1の特徴データと、学習モデルに関連付けられた第2の特徴データとに従って、複数の学習モデルの候補から学習モデルを選定する選定手段と
を備えることを特徴とする情報処理装置。
An information processing device that manages a learning model,
determining means for determining first feature data based on data retrieved according to a retrieval condition;
selection means for selecting a learning model from a plurality of learning model candidates according to the determined first feature data and second feature data associated with the learning model ;
An information processing device comprising:
前記学習モデルは、検索されたデータを順位づける順位学習のための学習モデルであることを特徴とする請求項1に記載の情報処理装置。 2. The information processing apparatus according to claim 1, wherein said learning model is a learning model for ranking learning for ranking retrieved data. 記第1の特徴データ、前記第2の特徴データはそれぞれ、前記検索されたデータを特徴付けるデータ、前記学習モデルの学習に使用されたデータを特徴付けるデータであることを特徴とする請求項1または2に記載の情報処理装置。 2. The first feature data and the second feature data are data characterizing the retrieved data and data characterizing data used for learning of the learning model, respectively. 3. The information processing device according to 2. 前記検索条件に従って検索されたデータをグループに分類する分類手段と、Classifying means for classifying data searched according to the search condition into groups;
前記分類されたグループを提示してグループの指定を受け付ける受付手段とを更に備え、further comprising receiving means for presenting the classified groups and receiving designation of the groups;
前記決定手段は、前記指定されたグループに分類されたデータに基づいて第1の特徴データを決定することを特徴とする請求項1~3のいずれか1項に記載の情報処理装置。4. The information processing apparatus according to any one of claims 1 to 3, wherein said determining means determines the first characteristic data based on the data classified into said specified group.
前記選定された学習モデルにより前記検索されたデータを表示制御する表示制御手段を備えることを特徴とする請求項1~4のいずれか1項に記載の情報処理装置。 5. The information processing apparatus according to any one of claims 1 to 4, further comprising display control means for controlling display of the data retrieved by the selected learning model. 学習モデルを管理する情報処理装置の制御方法であって、
決定手段が、検索条件に従って検索されたデータに基づいて第1の特徴データを決定する決定ステップと、
選定手段が、前記決定された第1の特徴データと、学習モデルに関連付けられた第2の特徴データとに従って、複数の学習モデルの候補から学習モデルを選定する選定ステップと
を備えることを特徴とする情報処理装置の制御方法。
A control method for an information processing device that manages a learning model, comprising:
a determining step in which the determining means determines the first feature data based on the data retrieved according to the retrieval condition;
a selection step in which the selection means selects a learning model from among a plurality of learning model candidates according to the determined first feature data and second feature data associated with the learning model ;
A control method for an information processing device, comprising:
学習モデルを管理する情報処理装置で実行可能なプログラムであって、
前記情報処理装置を、
検索条件に従って検索されたデータに基づいて第1の特徴データを決定する決定手段と、
前記決定された第1の特徴データと、学習モデルに関連付けられた第2の特徴データとに従って、複数の学習モデルの候補から学習モデルを選定する選定手段と
として機能させるためのプログラム。
A program executable by an information processing device that manages a learning model,
the information processing device,
determining means for determining first feature data based on data retrieved according to a retrieval condition;
selection means for selecting a learning model from a plurality of learning model candidates according to the determined first feature data and second feature data associated with the learning model ;
A program to function as
JP2019198690A 2019-10-31 2019-10-31 Information processing device, control method, and program Active JP7464814B2 (en)

Priority Applications (1)

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JP2019198690A JP7464814B2 (en) 2019-10-31 2019-10-31 Information processing device, control method, and program

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JP2019198690A JP7464814B2 (en) 2019-10-31 2019-10-31 Information processing device, control method, and program

Publications (3)

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JP2021071957A JP2021071957A (en) 2021-05-06
JP2021071957A5 true JP2021071957A5 (en) 2022-11-08
JP7464814B2 JP7464814B2 (en) 2024-04-10

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Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP4774081B2 (en) * 2008-06-11 2011-09-14 ヤフー株式会社 Document search system, document search method, and program
JP5432936B2 (en) * 2011-02-17 2014-03-05 日本電信電話株式会社 Document search apparatus having ranking model selection function, document search method having ranking model selection function, and document search program having ranking model selection function
US9244931B2 (en) * 2011-10-11 2016-01-26 Microsoft Technology Licensing, Llc Time-aware ranking adapted to a search engine application
JP6723182B2 (en) * 2017-03-17 2020-07-15 ヤフー株式会社 Information processing apparatus, information processing method, and program

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