Search Suggestion Priority Adjustment via Purchase Time Difference
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Solution Overview
Problem
Existing e-commerce search devices fail to effectively present suggestion words that lead to actual product purchases, as the order of suggestion words influences purchase decisions but does not always match user intent.
Innovation Solution
A search device with a suggestion word presentation unit, time information management unit, and priority management unit that updates presentation priorities based on the time difference between search and purchase operations, reflecting user behavior and trends in fashion and seasonality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If suggestion words are ordered by search frequency or product display count, then the search device can present commonly used suggestions, but the order does not necessarily match user intent for actual purchase
Solution Approach 1:
The patent implements feedback by tracking the time difference between search operations and subsequent purchase operations. The system monitors user behavior patterns and uses this feedback to dynamically adjust suggestion word priorities, ensuring that suggestions with shorter time differences (indicating stronger purchase intent) are presented more prominently.
Solution Approach 2:
The patent changes the parameter used for ordering suggestion words from static metrics (search frequency, product display count) to a dynamic parameter (time difference between search and purchase). This parameter change allows the system to adapt to varying user intents and improve the accuracy of purchase-oriented suggestions.
2Reliability
If the system tracks detailed user behavior data to improve suggestion accuracy, then purchase conversion can be optimized, but system complexity increases
Solution Approach 1:
The patent extracts only the essential element needed for improving suggestion accuracy - the time difference between search and purchase operations. By focusing on this single critical parameter rather than analyzing all user behavior data, the system achieves improved purchase conversion accuracy while minimizing data processing complexity.
Solution Approach 2:
The system performs preliminary action by pre-calculating and storing time difference data for future reference. This allows the suggestion word priority to be updated efficiently without requiring complex real-time analysis of user behavior patterns during the search process.
Data Source
AI summary
A search device includes a suggestion word presentation unit that presents a suggestion word based on the presentation priority by acquiring a suggestion word according to an input search string and a presentation priority from a suggestion word database, the suggestion word database storing the suggestion word and the presentation priority of the suggestion word associated to be searched by the input search string, a time information management unit that calculates time difference between a time when a search is performed and a time when a predetermined purchase operation or purchase preliminary operation is performed on a product which is related to the search and a priority management unit that updates the presentation priority stored in the suggestion word database to raise a presentation priority, which is associated with a suggestion word used for a search, higher as the time difference is smaller.