Server System for Product Recommendation via Inquiry Text Analysis
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Solution Overview
Problem
Current Internet auction management services do not effectively search for information of other products associated with a user's inquiry about a specific product, limiting the discovery of relevant products and potential transactions.
Innovation Solution
A server system that extracts product information from a database using a product name and input text to set search conditions, allowing for the recommendation of associated products to users and notification of sellers, thereby enhancing product discovery and transaction opportunities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a user asks a question about a specific product, then the user can obtain information about that product, but the system cannot automatically search for and recommend other associated products
Solution Approach 1:
The system analyzes the inquiry text (question, demand, or desire) submitted by the buyer and uses this feedback to automatically search for and recommend associated products. The inquiry text serves as feedback that triggers the product association search function, enabling the system to adaptively recommend products based on actual user needs.
Solution Approach 2:
The system performs automatic product association searching and recommendation without requiring manual intervention from sellers or administrators. The server automatically analyzes the inquiry text, searches the product database for associated items, and presents recommendations to the buyer, enabling self-service product discovery.
2Measurement precision
If the system stores detailed product information for search, then product recommendation accuracy improves, but system complexity increases
Solution Approach 1:
The system extracts the inquiry text (question, demand, or desire) from the user's input and uses only this extracted text as the basis for product association searching. This extraction approach simplifies the input processing while maintaining recommendation accuracy by focusing on the essential user intent.
Solution Approach 2:
The product association searching unit serves multiple functions: it analyzes various types of inquiry text (questions, demands, desires), searches for associated products based on different criteria, and provides recommendations. This multi-functional design reduces overall system complexity by consolidating multiple operations into a single unit.
Data Source
AI summary
A search is performed for information of other products associated with a question about a specific product.A server system 10 searches for information of other products associated with a question about a specific product, in accordance with the following procedure. [1] The server system inputs a product ID and a question text (text) related to a question (S405). [2] The server system extracts a product name corresponding to the product ID from product basic information (FIG. 2(b-1)) in an auction DB 12 (S410). [3] The server system analyzes each of the product name and the question text to specify one or more keywords (S415). [4] The server system sets a search condition for a search for products associated with each specified keyword (S420) and extracts necessary items out of the product information satisfying the search condition, from the product basic information, display information, and product price information (FIGS. 2(b-1) to (b-3)) in the auction DB 12 (S425). [5] The server system outputs the extracted necessary items out of the product information (S430).