View source for 18273758. PURCHASING FACTOR ESTIMATION DEVICE, PURCHASING FACTOR ESTIMATION SYSTEM, PURCHASING FACTOR ESTIMATION METHOD, AND STORAGE MEDIUM ON WHICH PURCHASING FACTOR ESTIMATION PROGRAM IS STORED simplified abstract (NEC Corporation)

=PURCHASING FACTOR ESTIMATION DEVICE, PURCHASING FACTOR ESTIMATION SYSTEM, PURCHASING FACTOR ESTIMATION METHOD, AND STORAGE MEDIUM ON WHICH PURCHASING FACTOR ESTIMATION PROGRAM IS STORED=


==Organization Name==

[[:Category:NEC Corporation|NEC Corporation]]


[[Category:NEC Corporation]]

==Inventor(s)==

[[:Category:Makoto Takamoto of Tokyo (JP)|Makoto Takamoto of Tokyo (JP)]][[Category:Makoto Takamoto of Tokyo (JP)]]

[[:Category:Daniel Onoro Rubio of Heidelberg (DE)|Daniel Onoro Rubio of Heidelberg (DE)]][[Category:Daniel Onoro Rubio of Heidelberg (DE)]]

==PURCHASING FACTOR ESTIMATION DEVICE, PURCHASING FACTOR ESTIMATION SYSTEM, PURCHASING FACTOR ESTIMATION METHOD, AND STORAGE MEDIUM ON WHICH PURCHASING FACTOR ESTIMATION PROGRAM IS STORED - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18273758 titled 'PURCHASING FACTOR ESTIMATION DEVICE, PURCHASING FACTOR ESTIMATION SYSTEM, PURCHASING FACTOR ESTIMATION METHOD, AND STORAGE MEDIUM ON WHICH PURCHASING FACTOR ESTIMATION PROGRAM IS STORED

==Simplified Explanation==

The patent application describes a purchasing factor estimation device that estimates a person's degree of interest in a product based on their attributes and the product's attributes. The device then outputs the estimated degree of interest and the reason for the estimation.

* The device includes an acquisition unit to gather person attribute information and product attribute information.
* An estimation unit uses an estimation model to estimate the person's interest in the product.
* An output unit displays the estimated interest and the reason for the estimation.

== Potential Applications ==
This technology could be applied in e-commerce platforms to personalize product recommendations for customers based on their interests and attributes.

== Problems Solved ==
This technology helps businesses understand customer preferences and tailor their marketing strategies accordingly, leading to increased sales and customer satisfaction.

== Benefits ==
- Personalized product recommendations
- Improved customer engagement
- Higher conversion rates

== Potential Commercial Applications ==
### Personalized Marketing Strategies in E-commerce Platforms ###

== Unanswered Questions ==
=== How does the device handle privacy concerns related to gathering person attribute information? ===
=== Can the estimation model be customized for different industries or product categories? ===


==Original Abstract Submitted==

A purchasing factor estimation device includes: an acquisition unit that acquires person attribute information relating to a first person and product attribute information relating to a first product; an estimation unit that, on the basis of the person attribute information and the product attribute information, uses an estimation model to estimate the first person's degree of interest in the first product; and an output unit that outputs the first person's estimated degree of interest and an estimation reason therefor. The factors behind the purchase of a product by a customer are determined as a result of generating the estimation model by learning the relationship among person attribute information relating to a second person, product attribute information relating to a second product, line of sight information of the second person in relation to the second product, and the second person's degree of interest in the second product.



[[Category:G06Q30/0601]]