Search Key Word Table Segmentation for E-Commerce Category Lookup
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Solution Overview
Problem
E-commerce websites face inefficiencies in processing resources and response times when providing category information due to the need for real-time searches and the inability to effectively handle long-tail key words using reference word tables that do not store low-frequency search key words and their corresponding category information.
Innovation Solution
A method that segments search key words into units and groups them by stages, creating tables that correspond category information to these units, and determines importance levels to improve lookup efficiency, allowing for better handling of long-tail key words by establishing multiple stages of search key word tables and determining category information based on user selection logs and importance levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time merchandise identifier searches are conducted to determine category information, then category information can be provided to users, but processing resources are consumed excessively and processing efficiency is reduced
Solution Approach 1:
The patent pre-generates and stores search key word unit groups and their corresponding category information in multiple stages during an offline phase. When a user searches, the system directly queries the pre-generated search key word table rather than performing real-time analysis, significantly reducing processing time and resource consumption while maintaining accurate category information delivery.
2Productivity
If reference word tables are used to store high-frequency search key words and their category information, then processing efficiency is improved, but long-tail key words (low-frequency search key words) cannot be effectively handled
Solution Approach 1:
The patent segments search key words into multiple units and organizes them into search key word unit groups across multiple stages. This segmentation allows the system to handle both complete long-tail key words (by matching multiple units together) and high-frequency key words (by matching individual units or partial sequences), thereby improving adaptability without sacrificing processing efficiency.
3Adaptability or versatility
If multiple stages of search key word tables are established to handle long-tail key words, then the scope of category information is expanded, but the system complexity increases
Solution Approach 1:
The patent divides the search key word processing into multiple stages, where each stage handles search key word unit groups of a specific length. This structured segmentation provides a clear framework for managing complexity: Stage 1 handles single units, Stage 2 handles pairs, and so on. The modular stage-based architecture makes the system more manageable and maintainable compared to a monolithic approach.
Solution Approach 2:
The patent introduces a dimensional organization of search key word tables by stages, where each stage represents a different dimension of key word unit group length. This dimensional structure allows efficient querying by enabling the system to search through organized layers rather than a single flat structure, reducing the practical complexity despite handling diverse search patterns.
Data Source
AI summary
Providing category information includes: receiving a plurality of search key word sets that were previously input by a plurality of users; obtaining category information corresponding to the plurality of search key word sets; segmenting each of the plurality of search key word sets into search key word units; combining the search key word units into a plurality of search key word unit groups that correspond to a plurality of stages; based at least in part on the category information, determining category information that specifically corresponds to the plurality of search key word unit groups; and based at least in part on category information, establishing a plurality of search key word tables corresponding to the plurality of stages.