Abstract:
A time-series prediction apparatus 10, which is an information processing apparatus that predicts transition of time-series data on a matter, calculates a relevance level which is an index of strength of a causal relation between a plurality of matters including a prediction target matter, based on time-series data relevant to each of the matters and on time-series data relevant to the causal relation between the matters, and predicts transition of the time-series data relevant to the matter based on the calculated relevance level. The time-series prediction apparatus 10 calculates the relevance level based on collocation frequency of terms relevant to the respective matters in the time-series data relevant to the causal relation between the matters. The time-series prediction apparatus 10 builds multiple prediction models for predicting the transition of the time-series data relevant to the prediction target matter based on time-series data relevant to a matter which is in a causal relation with the prediction target matter, and integrates prediction results of the respective prediction models while weighing each of the prediction models according to the relevance level.
Abstract:
An object of the invention is to actively increase movement of customers between areas. An area revitalization apparatus according to the invention includes: a store placement unit configured to change a placement of a store in an area based on movement information on a customer and information on purchase of products by the customer, and display, to the customer, a screen for visiting the store in the area; and a point giving unit configured to give an economic value to the customer who actually visits the store in the area.
Abstract:
A calculating machine stores intermediate data generated for each product based on social media data including statements on a plurality of products. The intermediate data about each of the products includes at least a frequency of statements on each of the products for a predetermined period of time. The products include a first product that is not displayed for provision to a consumer at a present time, or at least a second product that has been displayed for provision at the present time. The calculating machine stores sales amount data indicating a sales amount of the second product, and calculates a social media correlation degree indicating a correlation between the intermediate data about the first product and the intermediate data about the second product to predict a sales amount of the first product based on the calculated social media correlation degree and the sales amount data about the second product.
Abstract:
Provided is a transportation service planning system including an operation unit and a storage unit. The storage unit stores an evaluation index designated for each of transportation systems, a creation condition of a service plan for each of the transportation systems, and a service simulation condition for each of the transportation systems. The operation unit creates a service plan for each of the transportation systems on the basis of the creation condition of the service plan, simulates a service of each of the transportation systems on the basis of the service plan and the simulation condition, calculates the evaluation index designated for each of the transportation systems on the basis of the simulation results, outputs the service plan if all of the evaluation indices satisfy a prescribed standard, and revises the service plan if at least one of the evaluation indices does not satisfy the prescribed standard.