Abstract: An information providing system includes a content association database storing external information, in which content is divided in a chunk structure, and chunk reference information, in which reference information having a different attribute than the content is divided in a chunk structure, in association with each other. An external information similarity calculation database is built on machine learning using the external information. A processor acquires specific external information, and compares the external information with the acquired specific external information. The processor looks up the external information similarity calculation database, and calculates a similarity between the external information and the specific external information, when the external information does not match with the acquired specific external information.

Abstract: An information processing device is configured to output work information related to work performed by a serving person, the information processing device including an image acquisition unit configured to acquire an original image including a served person and a plurality of served objects that the serving person serves, an image division unit configured to divide the original image into a served-person image, in which the served person is captured, and a plurality of served-object images, in which each served object is captured, a scene estimation unit configured to estimate a scene, which is the situation the serving person is in, by using a first trained model, a chunk estimation unit configured to estimate a chunk, which is information dividing or suggesting the work information, by using one of a plurality of second trained models, and an output unit configured to output the chunk.

Abstract: An information providing system is an information providing system for selecting reference information that is appropriate when a user to perform a task related to a device works on the task, and has an acquiring unit for acquiring acquired data including first image data, in which a specific device and a specific identification label for identifying the specific device are photographed. The system also includes a first database that is built on machine learning, using a data structure for machine learning, which includes a plurality of items of training data that each include evaluation target information including image data, and a meta-ID linked with the evaluation target information. The image data includes an image showing the device and the identification label for identifying the device.

Abstract: An information providing system is an information providing system for selecting reference information that is appropriate when a user to perform a task related to a device works on the task, and has an acquiring unit for acquiring acquired data including first image data, in which a specific device and a specific identification label for identifying the specific device are photographed. The system also includes a first database that is built on machine learning, using a data structure for machine learning, which includes a plurality of items of training data that each include evaluation target information including image data, and a meta-ID linked with the evaluation target information. The image data includes an image showing the device and the identification label for identifying the device.

Abstract: A content model data base stores past target information, which includes past first video information acquired in advance, reference IDs, which are linked with the past target information, and which correspond to contents, and three or more levels of degrees of content association between the past target information and the reference IDs. A first acquiring unit acquires the target information from a user terminal, a first evaluation unit looks up the content model database and acquires ID information, which includes the degrees of content association between the target information and the reference IDs, and a judging unit judges the ID information. Contents that correspond to the ID information are output to the user terminal based on the result of judgment by the judging unit.

Abstract: A content model data base stores past target information, which includes past first video information acquired in advance, reference IDs, which are linked with the past target information, and which correspond to contents, and three or more levels of degrees of content association between the past target information and the reference IDs. A first acquiring unit acquires the target information from a user terminal, a first evaluation unit looks up the content model database and acquires ID information, which includes the degrees of content association between the target information and the reference IDs, and an output unit outputs the contents corresponding to the ID information. After the output from the output unit, the ID information, acquired by the first evaluation unit, is stored in an ID history unit.

Abstract: An information processing device to output work information, which is information related to work performed by a user, has a scene estimation unit to acquire a first image, location information, and time information, all relating to the work, and to estimate a scene by using a first trained model, a chunk estimation unit to acquire a second image, of equipment related to the work, and estimate a chunk by using one of a plurality of second trained models, in which associations among the second image, a chunk ID that uniquely identifies the chunk, which is information that divides or suggests the work information, and one or a plurality of chunk-meta IDs that are associated on a one-to-one basis, are stored, and an output unit to output the chunk.

Abstract: An information service system includes a unit which acquires first image information from a user terminal, a scene model database which stores past first image information, scene information containing a scene ID, and scene relevance, an evaluation unit which acquires a scene ID list, a unit which creates a scene name list corresponding to the scene ID list, a unit which acquires target information containing a set of second image information and a first scene ID, a content model database which stores past target information containing a set of past second image information and a scene ID, a reference ID, and a content relevance, a unit which acquires a reference ID list, a unit which creates a reference summary list, a unit which acquires a first reference ID selected from the reference summary list, and a unit which outputs the content corresponding to the acquired first reference ID.

Abstract: An information providing system includes a content association database storing external information, in which content is divided in a chunk structure, and chunk reference information, in which reference information having a different attribute than the content is divided in a chunk structure, in association with each other. An external information similarity calculation database is built on machine learning using the external information. A processor acquires specific external information, and compares the external information with the acquired specific external information. The processor looks up the external information similarity calculation database, and calculates a similarity between the external information and the specific external information, when the external information does not match with the acquired specific external information.

Abstract: An information providing system includes a first database that is built on machine learning, using a data structure including a plurality of items of training data including evaluation target information including image data of a medical device, and a second database that stores content IDs and reference information corresponding to the content IDs. The information providing system acquires data including first image data, in which a specific medical device and a specific identification label for identifying the specific medical device are photographed, selects a first meta ID based on the acquired data, selects a first content ID based on the first meta ID, and selects first reference information based on the first content ID. The information providing system outputs information including the first reference information, the first content ID, the first meta ID, and the evaluation target information.

Abstract: An information service system includes a unit which acquires first image information from a user terminal, a scene model database which stores past first image information, scene information containing a scene ID, and scene relevance, an evaluation unit which acquires a scene ID list, a unit which creates a scene name list corresponding to the scene ID list, a unit which acquires target information containing a set of second image information and a first scene ID, a content model database which stores past target information containing a set of past second image information and a scene ID, a reference ID, and a content relevance, a unit which acquires a reference ID list, a unit which creates a reference summary list, a unit which acquires a first reference ID selected from the reference summary list, and a unit which outputs the content corresponding to the acquired first reference ID.

Abstract: The information providing system according to the present invention selects reference information that is appropriate when a user to perform a task related to a medical device works on the task, and has a first database that is built on machine learning, using a data structure for machine learning, and the data structure for machine learning includes a plurality of items of training data that each include evaluation target information, including image data, and a meta-ID, the image data includes an image that shows the medical device and an identification label for identifying the medical device, and the meta-ID is linked with a content ID that corresponds to the reference information.

Abstract: A content model data base stores past target information, which includes past first video information acquired in advance, reference IDs, which are linked with the past target information, and which correspond to contents, and three or more levels of degrees of content association between the past target information and the reference IDs. A first acquiring unit acquires the target information from a user terminal, a first evaluation unit looks up the content model database and acquires ID information, which includes the degrees of content association between the target information and the reference IDs, and a judging unit judges the ID information. Contents that correspond to the ID information are output to the user terminal based on the result of judgment by the judging unit.

Abstract: A content model data base stores past target information, which includes past first video information acquired in advance, reference IDs, which are linked with the past target information, and which correspond to contents, and three or more levels of degrees of content association between the past target information and the reference IDs. A first acquiring unit acquires the target information from a user terminal, a first evaluation unit looks up the content model database and acquires ID information, which includes the degrees of content association between the target information and the reference IDs, and an output unit outputs the contents corresponding to the ID information. After the output from the output unit, the ID information, acquired by the first evaluation unit, is stored in an ID history unit.

Abstract: The information providing system according to the present invention selects reference information that is appropriate when a user to perform a task related to a nursing care device works on the task, and has a first database that is built on machine learning, using a data structure for machine learning, and the data structure for machine learning includes a plurality of items of training data that each include evaluation target information, including image data, and a meta-ID, the image data includes an image that shows the nursing care device and an identification label for identifying the nursing care device, and the meta-ID is linked with a content ID that corresponds to the reference information.

Abstract: An information providing system is an information providing system for selecting reference information that is appropriate when a user to perform a task related to a device works on the task, and has an acquiring unit for acquiring acquired data including first image data, in which a specific device and a specific identification label for identifying the specific device are photographed. The system also includes a first database that is built on machine learning, using a data structure for machine learning, which includes a plurality of items of training data that each include evaluation target information including image data, and a meta-ID linked with the evaluation target information. The image data includes an image showing the device and the identification label for identifying the device.