Product Information Translation Filtering for Cross-Border E-Commerce

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Solution Overview

Problem

The existing methods for translating product object information on cross-border e-commerce platforms are inefficient and resource-intensive, leading to delayed translations and poor user experience due to the large number of seller users and the need to translate massive amounts of data.

Innovation Solution

A method that analyzes product object information to determine which parts require translation by applying verification rules and weighted scoring, filtering out unnecessary translations, and then performs targeted translation into the desired language.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If all product object information is translated using machine translation, then product information can be provided in multiple languages, but the translation efficiency is low and resource consumption is high

Engineering Contradiction:
Improvemulti-language supportVSAvoidtranslation efficiency
Core Design Contradiction:
Adaptability or versatilityVSProductivity

Solution Approach 1:

The patent extracts and identifies only the essential product object information that requires translation, separating it from non-essential information. This is achieved through analysis of product information to determine translation requirements, focusing translation resources on critical fields such as product titles, descriptions, and specifications while excluding redundant or non-translatable elements.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent segments product object information into different components and applies translation selectively to each segment. By dividing product information into translatable and non-translatable portions, and further segmenting translatable portions by importance, the system translates only necessary segments, thereby improving efficiency while maintaining multi-language capability.

Inventive Principle:
Principle #1Segmentation

2Loss of information

If all product object information is translated, then complete product information is available in target language, but the translation process consumes massive resources and time

Engineering Contradiction:
Improvecompleteness of translated informationVSAvoidtranslation time
Core Design Contradiction:
Loss of informationVSLoss of time

Solution Approach 1:

The patent applies partial translation action by translating only the essential and high-value product information fields rather than all available information. The system determines translation requirements based on product characteristics, seller credentials, and target market needs, translating sufficient information to maintain completeness while avoiding unnecessary translation of redundant data.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The patent applies different translation quality and depth to different product information fields based on their importance. Critical fields such as product titles and key specifications receive full translation attention, while less important fields may receive simplified or selective translation, optimizing the balance between information completeness and translation time consumption.

Inventive Principle:
Principle #3Local quality

3Reliability

If translation is performed for all seller users simultaneously, then all product information is translated, but the platform cannot guarantee translation time and user experience deteriorates

Engineering Contradiction:
Improvetranslation service availabilityVSAvoidtranslation delivery time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent implements preliminary identification and prioritization of product information that requires translation before the actual translation process begins. By pre-analyzing product information to determine translation requirements and priorities, the system can schedule and execute translations more efficiently, guaranteeing translation delivery times while maintaining service availability for all seller users.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20260004091A1Product object information translation method and apparatus
Publication Date: 2026.01.01 HANGZHOU ALIBABA INT INTERNET IND CO LTD
  • US20260004091A1 patent drawing
  • US20260004091A1 patent drawing
  • US20260004091A1 patent drawing

AI summary

A machine translation method includes: obtaining product object information of a product object, wherein the product object information includes product description information in a first language; analyzing the product object information to determine product description information that satisfies a translation condition, as to-be-translated information; and performing a translation process on the to-be-translated information into a second language to determine product description information in the second language. It is possible to quickly determine the product description information that needs to be translated, reduce the amount of data for translation, and translate the to-be-translated information in a targeted manner, thereby improving translation efficiency.