公开(公告)号：US20240127081A1

公开(公告)日：2024-04-18

申请号：US18276385

申请日：2021-03-26

申请人： NEC Corporation

发明人： Shizuka SATO ,  Shohei MARUYAMA

IPC分类号： G06N5/022

CPC分类号： G06N5/022

摘要： In an order prediction device, an acquisition means acquires event data related to an event. A prediction means predicts a degree of interest with respect to each data item included in the event data and an order prediction by using an attention mechanism based on the event data. An output means outputs, as a prediction result, the degree of interest and an order probability.

公开(公告)号：US20200027231A1

公开(公告)日：2020-01-23

申请号：US16338363

申请日：2017-09-20

申请人： NEC CORPORATION

发明人： Takeharu KITAGAWA ,  Shohei MARUYAMA

IPC分类号： G06T7/60 ,  G01B11/08 ,  G06T7/00 ,  G06T7/73 ,  G06T7/593

摘要： An information processing device 60 includes a setting unit 61 and a detection unit 62. The setting unit 61 sets, as an investigation range, an image region including a target object in a captured image in which the target object is captured based on information about a feature of the target object. The detection unit 62 performs predetermined processing relating to the target object within the set investigation range.

公开(公告)号：US20240242237A1

公开(公告)日：2024-07-18

申请号：US18558441

申请日：2021-05-13

申请人： NEC Corporation

发明人： Shohei MARUYAMA

IPC分类号： G06Q30/0204

CPC分类号： G06Q30/0205

摘要： This customer classification device 30 is provided with: an acquisition unit 31 which acquires customer attribute information 301 relating to customers, product attribute information 302 relating to products, and purchase history information representing the purchase history of the products by the customers; an estimation unit 32 which estimates purchasing factors 320 of said products by said customers on the basis of the customer attribute information 301, the product attribute information 302 and the purchase history information 303; a classification unit 33 which classifies the customers into groups 330 on the basis of the purchasing factors 320; and an output unit 34 which outputs the classification results of the customers. In this way, the purchasing factors can be identified even for products whose characteristics cannot be fully understood, so it is possible to contribute to sales or development of products fitting customers.