Abstract: An extraction method executed by a computer includes: acquiring a first word input by a first user; acquiring a second word input by a second user; calculating a first distributed representation of a first character string, the first character string including the first word and a character string that identifies the first user; calculating a second distributed representation of a second character string, the second character string including the second word and a character string that identifies the second user; calculating a similarity between the first distributed representation and the second distributed representation; and extracting a word associated with the second distributed representation on a basis of the similarity.

Abstract: A non-transitory computer-readable storage medium storing machine learning program that causes a computer to execute a process, the process includes selecting a plurality of data from a first training data group based on an appearance frequency of first data attached with a first label, the first data being included in the first training data group; generating a first machine learning model by training by the plurality of data; and generating a second training data group obtained by combining the first training data group and an output by the first machine learning model when the first data is input.

Abstract: A reservation managing method implemented by a computer, the reservation managing method includes: executing first processing in response to receiving of a condition for searching for a resource, the received condition being a condition specified from a user, the first processing including searching for a resource matching the received condition among a plurality of resources; storing information about transition of the condition for searching for a resource in a memory in association with the user based on a condition when a reservation by the user is not set among the received conditions; and outputting a notification that a reservation for one resource of the plurality of resources may be set to the user when a reservation for the one resource is canceled, and when the one resource matches the condition identified from the information stored in the memory in association with the user.

Abstract: An extraction method executed by a computer includes: acquiring a first word input by a first user; acquiring a second word input by a second user; calculating a first distributed representation of a first character string, the first character string including the first word and a character string that identifies the first user; calculating a second distributed representation of a second character string, the second character string including the second word and a character string that identifies the second user; calculating a similarity between the first distributed representation and the second distributed representation; and extracting a word associated with the second distributed representation on a basis of the similarity.

Abstract: A reservation managing method implemented by a computer, the reservation managing method includes: executing first processing in response to receiving of a condition for searching for a resource, the received condition being a condition specified from a user, the first processing including searching for a resource matching the received condition among a plurality of resources; storing information about transition of the condition for searching for a resource in a memory in association with the user based on a condition when a reservation by the user is not set among the received conditions; and outputting a notification that a reservation for one resource of the plurality of resources may be set to the user when a reservation for the one resource is canceled, and when the one resource matches the condition identified from the information stored in the memory in association with the user.

Abstract: An allocation method executed by a computer, the allocation method includes receiving a demand for allocating a predetermined event to one of a plurality of frames; setting a weight for a free space in each of a plurality of candidates based on usage frequency of one or more candidates corresponding to the demand for allocating the predetermined event by referring to information on usage frequency of each of a plurality of frames in the past; identifying, from among the plurality of candidates, a candidate whose space is smaller than another space when allocating the predetermined event to the candidate based on the free space in each of the plurality of candidates and the weight for the free space; and outputting the identified candidate.