CONSUMER BEHAVIOR PREDICTION METHOD, CONSUMER BEHAVIOR PREDICTION DEVICE, AND CONSUMER BEHAVIOR PREDICTION PROGRAM
An acquisition unit acquires a voice feature quantity vector representing a feature of input voice data, an emotion expression vector representing a customer's emotion corresponding to the voice data, and a purchase intention vector representing a purchase intention of the customer corresponding to the voice data. A learning unit generates, by learning, a purchase intention estimation model for estimating a purchase intention of a customer corresponding to the voice data by using the voice feature quantity vector, the emotion expression vector, and the purchase intention vector.
1 . A consumer behavior prediction method executed by a consumer behavior prediction device, the method comprising:
an acquisition process of acquiring a voice feature quantity vector representing a feature of input voice data, an emotion expression vector representing a customer's emotion corresponding to the voice data, and a purchase intention vector representing a purchase intention of the customer corresponding to the voice data; and
a learning process of generating, by learning, a model for estimating a purchase intention of a customer corresponding to the voice data by using the voice feature quantity vector, the emotion expression vector, and the purchase intention vector.
2 . The consumer behavior prediction method according to claim 1 , wherein the learning process generates the model by learning by using the emotion expression vector as an intermediate output.
3 . The consumer behavior prediction method according to claim 1 , further comprising: an estimation process of estimating the purchase intention vector corresponding to the input voice data using the generated model.
4 . The consumer behavior prediction method according to claim 1 , wherein the acquisition process uses a model that outputs the emotion expression vector corresponding to the voice feature quantity vector.
5 . The consumer behavior prediction method according to claim 1 , wherein
the acquisition process further acquires a product information vector representing information on a product corresponding to the voice data, and
the learning process generates the model by learning by further using the product information vector.
6 . The consumer behavior prediction method according to claim 1 , wherein
the acquisition process further acquires a customer information vector representing attributes of the customer corresponding to the voice data, and
the learning process generates the model by learning by further using the customer information vector.
7 . A consumer behavior prediction device comprising:
a memory; and
a processor coupled to the memory and programmed to execute a process comprising:
acquiring a voice feature quantity vector representing a feature of input voice data, an emotion expression vector representing a customer's emotion corresponding to the voice data, and a purchase intention vector representing a purchase intention of the customer corresponding to the voice data; and
generating, by learning, a model for estimating a purchase intention of a customer corresponding to the voice data by using the voice feature quantity vector, the emotion expression vector, and the purchase intention vector.
8 . A non-transitory computer-readable recording medium having stored a consumer behavior prediction program for causing a computer to execute
an acquisition step of acquiring a voice feature quantity vector representing a feature of input voice data, an emotion expression vector representing a customer's emotion corresponding to the voice data, and a purchase intention vector representing a purchase intention of the customer corresponding to the voice data, and
a learning step of generating, by learning, a model for estimating a purchase intention of a customer corresponding to the voice data by using the voice feature quantity vector, the emotion expression vector, and the purchase intention vector.