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公开(公告)号：US20230127627A1
公开(公告)日：2023-04-27
申请号：US17973320
申请日：2022-10-25
Applicant: RIIID INC.
Inventor： Kyu Seok KIM , Min Sam KIM
IPC: G09B7/02
Abstract: The present disclosure relates to a method of recommending a diagnostic test question for user evaluation by an electronic device, including: generating a first matrix indicating whether users answer all questions correctly; generating a second matrix based on the first matrix using knowledge tracing (KT); and selecting the diagnostic test question using Lasso regression based on the second matrix.
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公开(公告)号：US20230015759A1
公开(公告)日：2023-01-19
申请号：US17863816
申请日：2022-07-13
Applicant: RIIID INC.
Inventor： Wan Soo KIM
Abstract: A method for scheduling a task for AutoML (Automated Machine Learning) by a terminal, includes: setting a ratio of 1) a first task requiring a plurality of arithmetic devices and 2) a second task requiring one arithmetic device, in a cluster connected with the terminal; allocating a third task for the AutoML on the basis of the set ratio; receiving a request for allocation of a session from a user; inspecting whether the session is allocable on the basis of the ratio of the second task; and allocating the session to the arithmetic device associated with the second task on the basis of the ratio of the second task when the session is allocable.
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公开(公告)号：US20220318941A1
公开(公告)日：2022-10-06
申请号：US17710143
申请日：2022-03-31
Applicant: RIIID INC.
Inventor： Hyun Bin LOH , Chan You Hwang , Jung Hoon Kim
Abstract: An apparatus for evaluating a skill of a user according to an embodiment of the present application including: a transferable feature extraction unit configured to receive problem response information and test score information of a reference domain from a user terminal and extract at least one transferable feature from the problem response information or the test score information; a basic model training unit configured to train a basic model for predicting a test score of a user from the transferable feature and feature information that is usable in common for comparison of skills of a plurality of users in the reference domain and a target domain in which skill evaluation of the user is desired; and a model transfer performing unit configured to transfer the basic model to a skill evaluation model for predicting a test score in the target domain.
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公开(公告)号：US11238749B2
公开(公告)日：2022-02-01
申请号：US16079909
申请日：2016-11-08
Applicant: RIIID. INC.
Inventor： Young Jun Jang , Jae We Heo
IPC: G09B7/04 , G06Q50/10 , G06Q30/02 , G06Q50/20 , G06F16/335 , G06F16/9535 , G06F16/901 , G06K9/62
Abstract: The present disclosure relates to a method for providing a customized educational content by an electronic device, the method including: a step a of generating a set of tags of sub-learning elements by listing a learning element of a particular subject in a tree structure, and designating analysis groups of the tags; a step b of generating structural information of a question by indexing an incorrect-answer tag to each of distractors of the question; a step c of inquiring about a result of a user test so as to calculate a user conquest rate for each of the analysis groups; and a step d of providing a user-customized question by using at least one of the structural information of the question and the user conquest rate.
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公开(公告)号：US20210233191A1
公开(公告)日：2021-07-29
申请号：US16964823
申请日：2020-03-26
Applicant: RIIID INC.
Inventor： Dong Min Shin , Young Ku Lee
Abstract: Provided is a method for analyzing a user in a data analysis server, the method including; step A of establishing a question database comprising a plurality of questions, of collecting solving result data of a user for the plurality of questions, and of learning the solving result data, thereby generating a data analysis model for modeling the user; step B of generating an expert model that recommends learning data necessary for machine learning of the data analysis model; step C of extracting at least one question from the question database according to recommendation from the expert model, and of updating the data analysis model using solving result data of a user for the at least one extracted question; and step D of updating the expert model by applying, to update information of the data analysis model, a reward that is set in a direction to improve prediction accuracy of the data analysis model.
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Patent Agency Ranking
公开(公告)号：US20210158713A1
公开(公告)日：2021-05-27
申请号：US17164801
申请日：2021-02-01
Applicant: RIIID INC.
Inventor： Yeong Min CHA , Jae We HEO , Young Jun JANG
Abstract: Disclosed is a method of providing user-customized learning content. The method includes: a step a of configuring a question database including one or more multiple-choice questions having one or more choice items and collecting choice item selection data of a user for the questions; a step b of calculating a modeling vector for the user based on the choice item data and generating modeling vectors for the questions according to each choice item; and a step c of calculating choice item selection probabilities of the user based on the modeling vectors of the user and the modeling vectors of the questions.
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公开(公告)号：US20240169249A1
公开(公告)日：2024-05-23
申请号：US17776798
申请日：2022-02-15
Applicant: RIIID INC.
Inventor： Byung Soo KIM
IPC: G06N20/00
CPC classification number: G06N20/00
Abstract: A method for pre-training artificial intelligence models to predict a score of a user by a server, comprises: generating a first sequence for training a first model, wherein the first sequence includes a masked element related to an exercise for predicting the score of the user; inputting the first sequence to the first model to train the first model; and inputting a second sequence to a second model predicted by the first model on the basis of the first sequence to train the second model, wherein the second model is trained through comparison between the first sequence and a third sequence predicted through the second model on the basis of the second sequence.
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公开(公告)号：US20230259715A1
公开(公告)日：2023-08-17
申请号：US18168658
申请日：2023-02-14
Applicant: RIIID Inc.
Inventor： Jamin SHIN , June Young Park , Han Gyeol Yu , Hyeong Don Moon
CPC classification number: G06F40/35 , G06F16/345
Abstract: A method of tracking a dialogue state according to an embodiment of the present application includes: acquiring a trained dialogue state tracking model; acquiring target dialogue data; acquiring dialogue summary data from the target dialogue data using the dialogue state tracking model; and generating a dialogue state template from the dialogue summary data, in which the dialogue state tracking model includes an input layer for receiving the target dialogue data, an output layer for outputting the dialogue summary data, and a hidden layer having a plurality of nodes connecting the input layer and the output layer, and is trained using a training set that includes dialogue data and a dialogue summary sentence generated from dialogue state data related to the dialogue data.
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公开(公告)号：US20230066320A1
公开(公告)日：2023-03-02
申请号：US17890946
申请日：2022-08-18
Applicant: RIIID INC.
Inventor： Dong Min SHIN , Ho yean SONG
IPC: G06N20/00
Abstract: In the present specification, a method of performing pre-training using an automated machine learning (AutoML) model by a server includes: using a first model for performing a first task to generate a second model for a second task; inputting, to the Auto ML model, a preset feature based on 1) components of the first model and the second model and 2) an element obtainable from training of the first model and generating of the second model as a state value; and changing the first model using the AutoML model.
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公开(公告)号：US20230044296A1
公开(公告)日：2023-02-09
申请号：US17848857
申请日：2022-06-24
Applicant: RIIID INC.
Inventor： Su Hong CHU , Min Sung Noh , Hae Chan Kim , Bo Ra Kim
IPC: G09B5/02 , G06F3/04817 , G09B7/02
Abstract: A method of providing learning to a user by a terminal includes the steps of: receiving user information from the user; displaying a first area for delivering information provided by a server to the user on the basis of the user information; displaying a second area for delivering a learning journey of the user to the user, wherein the second area includes a first icon representing a score predicted through a first test, one or more second icons representing a score predicted for each learning cycle, and a third icon representing a target score of the user; displaying an icon representing a learning cycle being performed by the user in the second area; and displaying a third area for delivering information related to the learning cycle being performed by the user.
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