公开(公告)号：US20180247364A1

公开(公告)日：2018-08-30

申请号：US15552933

申请日：2016-02-02

Applicant: NEC Corporation

Inventor： Shinji NAKADAI ,  Koutarou OCHIAI ,  Takayuki TERAKAWA

IPC: G06Q30/06 ,  G06F17/30 ,  G06Q30/02

CPC classification number: G06Q30/0631 ,  G06F16/285 ,  G06F16/9535 ,  G06F16/955 ,  G06Q30/02 ,  G06Q30/0204 ,  G06Q30/0282

Abstract: Provided is a grouping system capable of determining a group of products so that groups of the products likely to be simultaneously purchased can be grasped. A storage means 71 stores at least a purchasing context that is information indicating one or more types of products purchased in one purchasing activity. A grouping means 72 uses a likelihood of a combination of a group of the purchasing contexts, a group of the products, and a distribution parameter of a purchasing result, calculated by using the purchasing result corresponding to the combination of the group of the purchasing contexts, the group of the products, and the distribution parameter of the purchasing result, to determine the group of the purchasing contexts, the group of the products, and the distribution parameter of the purchasing result.

公开(公告)号：US20180260829A1

公开(公告)日：2018-09-13

申请号：US15534273

申请日：2015-11-27

Applicant: NEC Corporation

Inventor： Shinji NAKADAI ,  Koutarou OCHIAI ,  Takayuki TERAKAWA

IPC: G06Q30/02

CPC classification number: G06Q30/0204 ,  G06Q30/0201

Abstract: There is provided a grouping system capable of defining groups of customers with similar purchase trends with high accuracy and defining groups of products or product-related items in terms of similar purchase trends, or groups of services or service-related items in terms of similar purchase trends with high accuracy. A purchase trend calculation means 3 calculates a trend of a customer to purchase a product per combination of customer and product or per combination of customer and product-related item as item related to a product on the basis of customers' product purchase situations. A grouping means 4 defines groups of customers and defines groups of products or groups of product-related items on the basis of the trends and a distribution of the trends.

公开(公告)号：US20180040010A1

公开(公告)日：2018-02-08

申请号：US15552145

申请日：2016-02-02

Applicant: NEC Corporation

Inventor： Shinji NAKADAI ,  Koutarou OCHIAI ,  Takayuki TERAKAWA

IPC: G06Q30/02

CPC classification number: G06Q30/0204

Abstract: Provided is a grouping system capable of grouping customers and options in each channel, considering variation of behavior of each customer depending on the channel. A grouping means 3 uses a likelihood of a group of customers, a group of options in a first channel, and a group of options in a second channel, calculated based on a distribution parameter of a history of the activity according to a combination of the group of customers and the group of options in the first channel, a history of the activity in the first channel, a distribution parameter of a history of the activity according to a combination of the group of customers and the group of options in the second channel, and a history of the activity in the second channel, to determine the group of customers, the group of options in the first channel, and the group of options in the second channel.

公开(公告)号：US20160232637A1

公开(公告)日：2016-08-11

申请号：US15021065

申请日：2014-08-21

Applicant: NEC CORPORATION

Inventor： Yosuke MOTOHASHI ,  Satoshi MORINAGA ,  Koutarou OCHIAI ,  Norihito GOTO

IPC: G06Q50/28 ,  G06Q30/02 ,  G06N7/00 ,  G06N5/04 ,  G06N99/00

CPC classification number: G06Q50/28 ,  G06N5/003 ,  G06N5/04 ,  G06N7/005 ,  G06N20/00 ,  G06Q30/0202

Abstract: This invention discloses a shipment-volume prediction device that predicts the shipment volumes of products at a new store. A classification unit (90) classifies a plurality of existing stores into a plurality of clusters. On the basis of information regarding the new store, a cluster estimation unit (91) estimates which cluster the new store will belong to. A shipment-volume prediction unit (92) estimates the shipment volumes of products at the new store by computing predicted shipment volumes for said products at existing stores that belong to the same cluster as the new store.

Abstract translation: 本发明公开了一种装运量预测装置，其预测新商店的产品的装运量。 分类单元（90）将多个现有存储分类为多个簇。 基于关于新商店的信息，群集估计单元（91）估计新商店将属于哪个群集。 出货量预测单元（92）通过计算属于与新商店相同的集群的现有存储处的所述产品的预计出货量来估计新商店的产品的出货量。

公开(公告)号：US20160210681A1

公开(公告)日：2016-07-21

申请号：US15022843

申请日：2014-08-21

Applicant: NEC CORPORATION

Inventor： Yosuke MOTOHASHI ,  Koutarou OCHIAI ,  Norihito GOTO

IPC: G06Q30/06

CPC classification number: G06Q30/0631 ,  G06Q30/0254

Abstract: This invention discloses a product recommendation device that recommends products that are selling well in many stores, not products that are selling well in only some stores. For each of a plurality of products sold at a plurality of stores, a score computation unit (90) computes a score that increases as a function of both shipment volume and the number of stores at which the product in question is being dealt. A product recommendation unit (91) recommends products that have higher scores than products being dealt at the store for which the recommendation is being made.

Abstract translation: 本发明公开了一种产品推荐装置，其推荐在许多商店销售良好的产品，而不是仅在一些商店销售的产品。 对于在多个商店中销售的多个产品中的每一个，分数计算单元（90）计算作为出货量和所讨论的产品正在被处理的商店的数量的函数而增加的分数。 产品推荐单位（91）推荐比商品正在处理的商品分数高的产品，该商品正在进行推荐。