Search Query Suggestions Using Prior Search Terms
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Solution Overview
Problem
Conventional search query suggestion systems are complex and often fail to quickly provide users with relevant information, as they require users to re-enter previous search terms or rely on stored data, which can complicate the search process.
Innovation Solution
A method and system where a client device sends elements of a prior search query to a search engine, allowing the engine to provide search query suggestions and results without the user re-entering the terms, even before a new search result request is made, by incorporating the prior search terms into the new search query elements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional search query suggestion systems store and retrieve previous search terms from stored data, then they can provide context-aware suggestions, but the system complexity increases and the speed of providing suggestions decreases
Solution Approach 1:
The patent extracts only the essential previous search term from the search URL without storing or processing extensive historical data. The system takes out just the query parameter from the URL to generate suggestions, avoiding the complexity of storing and analyzing large volumes of search history data while still providing context-aware suggestions.
Solution Approach 2:
The system performs preliminary action by automatically including the previous search term in the elements sent to the search engine before the user completes typing the new query. This preliminary inclusion of context allows the search engine to generate relevant suggestions without requiring complex client-side storage and retrieval mechanisms.
2Reliability
If users re-enter previous search terms manually, then the search engine can process complete queries, but the user effort and time increase
Solution Approach 1:
The system implements self-service by automatically extracting and including the previous search term from the URL in the new query elements sent to the search engine. This eliminates the need for users to manually re-enter terms, reducing user effort while ensuring the search engine receives complete query information for reliable processing.
3Adaptability or versatility
If the search engine stores previous search terms, then it can provide personalized suggestions, but the data storage requirements and processing complexity increase
Solution Approach 1:
The patent applies extraction by obtaining only the necessary previous search term directly from the search URL parameter rather than storing extensive user search histories. This minimal data extraction approach enables personalized suggestions without the need for large-scale data storage infrastructure or complex data management systems.
Data Source
AI summary
Method comprising: receiving from a client device a first search query including at least one first query search term; sending first search results of a first search; receiving from the client device elements of a second search query including at least the at least one first query search term, the at least one first query search term included in the elements of the second search query not having been entered by a user of the client device in a search field in respect of the second search query; and prior receiving a second search result request from the client device in respect of the second search query, sending at least one of (i) at least one search query suggestion based on, at least in part, the elements of the second search query, and (ii) second search results of a second search conducted using the at least one search query suggestion.