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Estimation of similarity of items

a similarity and item technology, applied in the field of items similarity estimation, can solve the problem that similarities derived from conventional methods may sometimes be irrelevant to the performance of target stores

Inactive Publication Date: 2018-10-18
IBM CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

The present invention provides a method for predicting an indicator of a target based on attributes of each of a plurality of items. This is done by generating a prediction model that estimates weights for each item and a similarity among the items for the target using the weights. This method can be used for various applications such as predicting scores for a target based on attributes of other items.

Problems solved by technology

It is often necessary to group the competitive retailers due to difficulties of processing every retailer among a huge number of competitive retailers.
However, similarities derived from conventional methods may sometimes be irrelevant to the performance of the target store.

Method used

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  • Estimation of similarity of items
  • Estimation of similarity of items
  • Estimation of similarity of items

Examples

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Embodiment Construction

[0011]Hereinafter, example embodiments of the present invention will be described. The example embodiments shall not limit the invention according to the claims, and the combinations of the features described in the embodiments are not necessarily essential to the invention.

[0012]FIG. 1 shows an exemplary configuration of an apparatus 10 (e.g., a computer, a programmable circuit, etc.), according to an embodiment of the present invention. The apparatus 10 may obtain an input data including attributes of items and an indicator of a target, and estimate a similarity among items based on the input data.

[0013]In an embodiment, the target may be at least one store subject to an analysis (which may hereinafter be referred to as a “target store”), the items may be a plurality of competitive retailers that have store(s) and are competitors of the target store (which may hereinafter be referred to as “competitive retailers”), the indicator of the target is a performance indicator of the targ...

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Abstract

Similarity of items can be estimated by using a method including generating a prediction model that predicts an indicator of a target based on one or more attributes for items, by estimating a weight set, among weight sets, for each of the items, and estimating a similarity among the items for the target based on the weight sets of the prediction model.

Description

BACKGROUNDTechnical Field[0001]The present invention relates to estimation of a similarity of items.Related Art[0002]In the retail industry, influences from competitive retailers to a target store are often analyzed. It is often necessary to group the competitive retailers due to difficulties of processing every retailer among a huge number of competitive retailers. Similarities among competitive retailers may be used to group the competitive retailers. However, similarities derived from conventional methods may sometimes be irrelevant to the performance of the target store.SUMMARY[0003]According to a first aspect of the present invention, provided is a method including generating a prediction model that predicts an indicator of a target based on one or more attributes of for each of a plurality of items, by estimating each of a weight set, among a plurality of weight sets, for each of the plurality of items, and estimating a similarity among the plurality of items for the target ba...

Claims

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Application Information

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IPC IPC(8): G06N7/00
CPCG06N7/005G06Q30/0202G06N7/01
Inventor MORIMURA, TETSURO
Owner IBM CORP