SERVER AND METHOD

1 . A server comprising a circuitry, wherein the circuitry is configured to:

hold, in a livestreamer information holding unit, information about a livestreamer distributing a video on a video livestreaming platform;

hold, in a video data holding unit, video data including images and audio of the video distributed by the livestreamer;

convert, in a converting unit, the video data held in the video data holding unit into text data; and

use a plurality of machine learning models each of which is designed to receive the text data and the information about the livestreamer held in the livestreamer information holding unit and output a sentence introducing the livestreamer, the machine learning models being respectively configured with different personalities.

2 . The server of claim 1 , wherein the circuitry is further configured to:

hold, in a sentence holding unit, an ID identifying the livestreamer, a plurality of sentences introducing the livestreamer, and output from the machine learning models, in association with each other.

3 . The server of claim 2 , wherein the circuitry is further configured to:

receive, in a request receiving unit, a search request via a network from a user terminal of a user of the video livestreaming platform; and

perform, in a search unit, a search through the sentence holding unit based on the search request.

4 . The server of claim 3 , wherein the circuitry is further configured to:

provide, in a providing unit, via the network the user terminal with a result of the search performed by the search unit.

5 . The server of claim 3 , wherein the circuitry is further configured to:

use another machine learning model for receiving information about the user of the user terminal and a keyword indicating a search target included in the search request and outputting a sentence representing a desire of the user,

wherein the search unit performs the search by comparing the sentence output from the another machine learning model and the sentences held in the sentence holding unit.

6 . The server of claim 5 , wherein the another machine learning model is configured with the same personality as one of the machine learning models.

7 . The server of claim 1 , wherein the video distributed on the video livestreaming platform is distributed by the livestreamer in real time.

8 . A method comprising:

holding, in a livestreamer information holding unit, information about a livestreamer distributing a video on a video livestreaming platform;

holding, in a video data holding unit, video data including images and audio of the video distributed by the livestreamer;

converting the video data held in the video data holding unit into text data; and

inputting the text data and the information about the livestreamer held in the livestreamer information holding unit into a plurality of machine learning models to cause each of the machine learning models to output a sentence introducing the livestreamer, the machine learning models being respectively configured with different personalities.

9 . The method of claim 8 , further comprising

holding, in a sentence holding unit, an ID identifying the livestreamer, a plurality of sentences introducing the livestreamer, and output from the machine learning models, in association with each other.

10 . The method of claim 9 , further comprising:

receiving, in a request receiving unit, a search request via a network from a user terminal of a user of the video livestreaming platform; and

performing, in a search unit, a search through the sentence holding unit based on the search request.

11 . The method of claim 10 , further comprising

providing, in a providing unit, via the network the user terminal with a result of the search performed.

12 . The method of claim 10 , further comprising

inputting information about the user of the user terminal and a keyword indicating a search target included in the search request into another machine learning model to cause the other machine learning model to output a sentence representing a desire of the user,

wherein the search is performed by comparing the sentence output from the another machine learning model and the sentences held in the sentence holding unit.

13 . The method of claim 12 , wherein the another machine learning model is configured with the same personality as one of the machine learning models.

14 . The method of claim 8 , wherein the video distributed on the video livestreaming platform is distributed by the livestreamer in real time.