Predictive Search Result Generation with Confidence Thresholds
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Solution Overview
Problem
Existing search systems face inefficiencies in generating multi-input search results, leading to prolonged response times and potential inaccuracies due to outdated cached results, which can negatively impact customer retention.
Innovation Solution
A method that involves receiving interim search inputs, generating predicted search inputs and confidence levels, and initiating a search operation only when the confidence level exceeds a threshold, allowing for pre-emptive generation and transmission of predicted search results, with actual search operations triggered by final queries that do not match initial inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If precomputed and cached search results are used, then response time is improved, but accuracy deteriorates due to outdated results
Solution Approach 1:
The system performs preliminary actions by precomputing search results for anticipated queries before the actual search is needed. The server predicts what search inputs a client will provide and generates search results in advance, storing them for rapid delivery when the predicted query occurs, thus reducing response time while maintaining accuracy through proactive rather than reactive result generation
2Reliability
If search operation is initiated immediately upon receiving inputs, then accuracy is maintained, but response time increases and client device idle time increases
Solution Approach 1:
The system initiates search operations in advance based on predicted client queries rather than waiting for actual queries to be received. The server uses machine learning models to predict what search inputs clients will provide and generates search results proactively, eliminating the idle waiting period and reducing overall response time while maintaining accuracy through predictive rather than reactive search execution
3Productivity
If search operation is initiated immediately upon receiving inputs, then search results are generated quickly, but client device idle time increases
Solution Approach 1:
The system performs search result generation in advance before the client device needs the results. By predicting anticipated queries and generating results proactively, the server eliminates the period where the client device would be idle waiting for results, thereby reducing overall time loss while maintaining high productivity in search result generation
Data Source
AI summary
A method of controlling generation of search results based on a plurality of search inputs includes, at a server: receiving an interim query containing a subset of interim search inputs; generating, based on the subset of interim search inputs: a subset of predicted search inputs; and a confidence level associated with the subset of predicted search inputs; when the confidence level exceeds a threshold, initiating a search operation to generate predicted search results based on a set of initial inputs including (i) the subset of interim search inputs and (ii) the subset of predicted search inputs; when the confidence level does not exceed the threshold, awaiting an additional query without initiating the search operation; and transmitting a search response based on at least one of the interim query and the additional query.