SEARCH SYSTEM, SEARCH METHOD, AND PROGRAM
Searching means of a search system searches a database, in which a plurality of data items are stored, using character information entered by a user as a query. Providing means provides the user with a data item selected by the user from a search result obtained by the searching means. Training means trains a learning machine to learn a relationship between item information of the data item selected by the user and the character information used as the query. Obtaining means enters item information of a target data item into the learning machine and obtaining feature information of the target data item from the learning machine. Registering means registers the feature information in the database in association with the target data item.
1 . A search system comprising at least one processor configured to:
search a database, in which a plurality of data items are stored, using character information entered by a user as a query;
provide the user with a data item selected by the user from a search result;
train a learning machine to learn a relationship between character information defined as a first index of the data item selected by the user and the character information used as the query;
enter a first index of a target data item into the learning machine and obtain character information of the target data item from the learning machine; and
register the character information obtained from the learning machine in the database as a second index of the target data item.
2 - 3 . (canceled)
4 . The search system according to claim 1 , wherein the at least one processor is configured to:
record a combination of the first index of the data item selected by the user and the character information used as the query, and
train the learning machine to learn the relationship at predetermined timing based on the combination.
5 . The search system according to claim 1 , wherein the at least one processor is configured to
train the learning machine to learn the relationship whenever the user selects a data item.
6 . The search system according to claim 1 , wherein the at least one processor is configured to
generate the learning machine based on a recurrent neural network model, a long short-term memory model, or a sequence conversion model.
7 . The search system according to claim 1 , wherein the at least one processor is configured to:
add a new data item to the database,
enter a first index of the new data item into the learning machine, and obtains character information of the new data item from the learning machine, and
register the character information obtained from the learning machine in the database in association with the new data item.
8 . The search system according to claim 1 , wherein
the database stores, for each data item, a first index and a second index that is registered, and
the at least one processor is configured to provide the user with a first search result based on the first index, and provide the user with a second search result based on the second index.
9 . The search system according to claim 8 , wherein
the data item relates to a product or service, and
the at least one processor is configured to provide the user with the first search result for displaying a page of the product or the service based on the first index, and provide the user with the second search result for providing a coupon of the product or the service based on the second index.
10 . A search method comprising:
searching a database, in which a plurality of data items are stored, using character information entered by a user as a query;
providing the user with a data item selected by the user from a search result;
training a learning machine to learn a relationship between character information defined as a first index of the data item selected by the user and the character information used as the query;
entering a first index of a target data item into the learning machine and obtaining character information of the target data item from the learning machine; and
registering the character information obtained from the learning machine as a second index of the target data item.
11 . A non-transitory computer-readable information storage medium for storing a program for causing a computer to:
search a database, in which a plurality of data items are stored, using character information entered by a user as a query;
provide the user with a data item selected by the user from a search result;
train a learning machine to learn a relationship between character information defined as a first index of the data item selected by the user and the character information used as the query;
enter a first index of a target data item into the learning machine and obtaining character information of the target data item from the learning machine; and
register the character information obtained from the learning machine in the database as a second index of the target data item.