Product ID Conversion for E-commerce Recommendation Accuracy

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Solution Overview

Problem

In e-commerce platforms, the association of user action information with product identification information is often inconsistent due to products being sold on different sales pages, leading to inappropriate determination of recommended sales pages for users.

Innovation Solution

An information processing apparatus that acquires sales page identification information, converts it into product identification information, generates a recommended product list, and determines appropriate sales pages for recommended products based on this information, using machine learning models to enhance accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If the same product is sold on different sales pages by multiple stores, then product availability and selection for users are improved, but the association between user action information and product identification information becomes inconsistent and inaccurate

Engineering Contradiction:
Improveproduct availabilityVSAvoidassociation accuracy
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent introduces a product identification information conversion unit that acts as an intermediary between sales page identification information and product identification information. This conversion unit standardizes the mapping relationship by converting various sales page IDs (from different stores selling the same product) into a unified product ID, thereby maintaining accurate association between user actions and products despite multiple sales pages existing for the same product

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The patent creates a universal product identification system that can handle multiple sales pages for the same product. The product identification information serves as a universal key that works across different stores and sales pages, allowing the system to accurately track user actions regardless of which specific sales page was visited

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Reliability

If action information from different sales pages is associated with different product identification information, then each sales page can be tracked independently, but the overall product recommendation accuracy deteriorates

Engineering Contradiction:
Improvetracking reliabilityVSAvoidrecommendation accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent merges the fragmented action information from different sales pages by converting all sales page IDs into a unified product ID. This consolidation allows action information (views, purchases, favorites) from multiple sales pages to be aggregated into a single product profile, enabling accurate product recommendations based on comprehensive user behavior data

Inventive Principle:
Principle #5Merging (Combining)

Data Source

PatentUS20250209514A1Information processing apparatus, information processing method, and non-transitory computer readable medium
Publication Date: 2025.06.26 RAKUTEN GROUP INC
  • US20250209514A1 patent drawing
  • US20250209514A1 patent drawing
  • US20250209514A1 patent drawing

AI summary

An information processing apparatus acquires a list of sales page identification information identifying each sales page for one or more products associated with each user, converts the list of sales page identification information into a list of product identification information identifying a product, generates a recommended product list including recommended product identification information identifying each of one or more products to be recommended to the user, based on the list of product identification information, determines a sales page for each of the one or more products to be recommended to the user, based on one or more pieces of recommended product identification information included in the recommended product list.