Recommend apparatus, information providing system, method, and storage medium
A recommend apparatus includes: a communication device; and at least one processor. The at least one processor is configured to: receive performance information generated based on a performance of a first user, via the communication device; determine a recommendation type, which indicates at least one of music information and function information, based on the received performance information of the first user; and send recommendation information to the first user via the communication device, based on the determined recommendation type.
1. A recommend apparatus comprising:
a communication device; and
at least one processor,
wherein the at least one processor is configured to:
receive performance information generated based on a performance of a first user, via the communication device;
determine a recommendation type, which indicates at least one of music information and function information, based on the received performance information of the first user; and
send recommendation information to the first user via the communication device, based on the determined recommendation type,
wherein the music information includes information on a piece of music that the first user has never played but a second user has played, and
wherein the function information includes information on a function that the first user has never used but the second user has used.
2. The recommend apparatus according to claim 1 , wherein
the at least one processor is configured to determine the recommendation type based on a scoring result obtained by scoring the first user's performance and based on which functions are used in the first user's performance.
3. The recommend apparatus according to claim 1 ,
wherein;
the at least one processor is configured to determine, as the second user, a user similar to the first user in at least one of music use tendencies, function use tendencies, and music mastering characteristics.
4. The recommend apparatus according to claim 3 , wherein
the at least one processor is configured to determine the second user similar to the first user in the music use tendencies, based on at least one of difficulty information on pieces of music which have been used for training and genre information on the pieces of music which have been used for training.
5. The recommend apparatus according to claim 3 , wherein
the at least one processor is configured to determine the second user similar to the first user in the function use tendencies, based on at least one of information on the numbers of times of metronome use, information on the numbers of times of tempo change, and information on the numbers of times of pedal use.
6. The recommend apparatus according to claim 3 , wherein
the at least one processor is configured to determine the second user similar to the first user in the music mastering characteristics, based on types of users which are determined from distributions of scores of individual users.
7. An information providing system having a recommend apparatus and a terminal device, wherein
the recommend apparatus includes:
a communication device; and
at least one processor,
the at least one processor is configured to:
receive performance information generated based on a performance of a first user, via the communication device;
determine a recommendation type, which indicates at least one of music information and function information, based on the received performance information of the first user; and
send recommendation information to the first user via the communication device, based on the determined recommendation type, and
the terminal device is configured to:
send the performance information to the recommend apparatus;
receive the recommendation information sent from the communication device; and
display the received recommendation information,
wherein the music information includes information on a piece of music that the first user has never played but a second user has played, and
wherein the function information includes information on a function that the first user has never used but the second user has used.
8. The information providing system according to claim 7 , wherein
the at least one processor of the recommendation apparatus is configured to determine the recommendation type based on a scoring result obtained by scoring the first user's performance and based on which functions are used in the first user's performance.
9. The information providing system according to claim 7 , wherein
the at least one processor of the recommendation apparatus is configured to determine, as the second user, a user similar to the first user in at least one of music use tendencies, function use tendencies, and music mastering characteristics.
10. The information providing system according to claim 9 , wherein
the at least one processor of the recommend apparatus is configured to determine the second user similar to the first user in the music use tendencies, based on at least one of difficulty information on pieces of music which have been used for training and genre information on the pieces of music which have been used for training.
11. The information providing system according to claim 9 , wherein
the at least one processor of the recommend apparatus is configured to determine the second user similar to the first user in the function use tendencies, based on at least one of information on the numbers of times of metronome use, information on the numbers of times of tempo change, and information on the numbers of times of pedal use.
12. The information providing system according to claim 9 , wherein
the at least one processor of the recommend apparatus is configured to determine the second user similar to the first user in the music mastering characteristics, based on types of users which are determined from distributions of scores of individual users.
13. A method performed by a recommend apparatus, comprising:
receiving performance information generated based on a performance of a first user, via a communication device;
determining a recommendation type, which indicates at least one of music information and function information, based on the received performance information of the first user; and
sending recommendation information to the first user via the communication device, based on the determined recommendation type,
wherein the music information includes information on a piece of music that the first user has never played but a second user has played, and
wherein the function information includes information on a function that the first user has never used but the second user has used.
14. The method according to claim 13 , wherein
the determining comprises determining the recommendation type based on a scoring result obtained by scoring the first user's performance and based on which functions are used in the first user's performance.
15. The method according to claim 13 , wherein
the determining comprises determining, as the second user, a user similar to the first user in at least one of music use tendencies, function use tendencies, and music mastering characteristics.
16. The method according to claim 15 , wherein
the determining comprises determining the second user similar to the first user in the music use tendencies, based on at least one of difficulty information on pieces of music which have been used for training and genre information on the pieces of music which have been used for training.
17. The method according to claim 15 , wherein
the determining comprises determining the second user similar to the first user in the function use tendencies, based on at least one of information on the numbers of times of metronome use, information on the numbers of times of tempo change, and information on the numbers of times of pedal use.
18. The method according to claim 15 , wherein
the determining comprises determining the second user similar to the first user in the music mastering characteristics, based on types of users which are determined from distributions of scores of individual users.