PREFERENCE ANALYZING SYSTEM
First Claim
Patent Images
1. A preference analyzing system that analyzes purchase preference of an individual, comprising:
- a learner that learns purchase preference of the individual with respect to a product based on purchase history data that describes a history of the product purchased by the individual, and that stores tree structure data representing a learning result in a storage unit;
a classifier that extracts, from the learning result by the learner, a tendency in which evaluation by the individual with respect to the product is raised and lowered according to an attribute of the product, that classifies the extracted tendency based on a raising/lowering pattern thereof and that identifies, from among the classified raising/lowering patterns, a mixed pattern in which the pattern raising evaluation by the individual with respect to the product and the pattern lowering evaluation by the individual with respect to the product are mixed;
a feature quantity analyzer that extracts, as a vector of the attribute, a feature quantity of the product corresponding to each leaf node of the tree structure data; and
a change factor extractor that calculates correlation between the mixed pattern and the vector corresponding to each of the leaf nodes, thereby identifying, as a change factor, the attribute that raises or lowers evaluation by the individual with respect to the product having the attribute generating the mixed pattern, and that outputs a result thereof.
1 Assignment
0 Petitions
Accused Products
Abstract
The present invention aims to extract change factors that raise and lower evaluation with respect to a product based on a purchase history of an individual. A preference analyzing system according to the present invention learns, from a purchase history, a preference model that evaluates purchase preference of an individual, calculates correlation between a feature quantity representing an attribute of a product and a mixed attribute that can raise and lower evaluation of the product, and extracts other product attributes that change the mixed attribute (see FIG. 6).
-
Citations
14 Claims
-
1. A preference analyzing system that analyzes purchase preference of an individual, comprising:
-
a learner that learns purchase preference of the individual with respect to a product based on purchase history data that describes a history of the product purchased by the individual, and that stores tree structure data representing a learning result in a storage unit; a classifier that extracts, from the learning result by the learner, a tendency in which evaluation by the individual with respect to the product is raised and lowered according to an attribute of the product, that classifies the extracted tendency based on a raising/lowering pattern thereof and that identifies, from among the classified raising/lowering patterns, a mixed pattern in which the pattern raising evaluation by the individual with respect to the product and the pattern lowering evaluation by the individual with respect to the product are mixed; a feature quantity analyzer that extracts, as a vector of the attribute, a feature quantity of the product corresponding to each leaf node of the tree structure data; and a change factor extractor that calculates correlation between the mixed pattern and the vector corresponding to each of the leaf nodes, thereby identifying, as a change factor, the attribute that raises or lowers evaluation by the individual with respect to the product having the attribute generating the mixed pattern, and that outputs a result thereof. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
-
Specification