Search Query Classification and Aggregation for Organized Results
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Solution Overview
Problem
Current search engines provide search results in an unorganized manner, leading to a cumbersome and unsatisfying user experience when searching for information online.
Innovation Solution
Implementing methods to automatically classify search queries into categories, execute searches across these categories, and provide search results, along with features like Lightning Search and Aggregate Search, which store and retrieve bookmarks and user clicks to enhance the search process by organizing results and providing links to previously clicked documents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If search results are provided in an unorganized manner, then the search process is simple and fast, but the user experience becomes cumbersome and unsatisfying
Solution Approach 1:
The patent segments search results by automatically classifying them into different categories (e.g., news, sports, entertainment, business) based on the search query and result content. This segmentation organizes the overwhelming amount of search results into manageable, topic-specific groups, improving user experience without requiring complex manual organization systems.
Solution Approach 2:
The patent introduces an automatic classification system as an intermediary between the search engine and the user. This intermediary automatically categorizes search results behind the scenes, presenting organized information to users without requiring them to manually organize or navigate complex classification structures themselves.
2Ease of operation
If search results are categorized and organized, then user experience improves, but the search system complexity increases
Solution Approach 1:
The patent implements a self-service classification system that automatically analyzes search queries and results, then categorizes them without human intervention. The system uses automated algorithms to identify relevant categories and assign results accordingly, eliminating the need for manual classification while maintaining organization benefits.
Solution Approach 2:
The patent changes the parameter of organization from manual to automatic classification. By transforming the classification process from a human-operated manual system to an automated algorithmic system, the patent reduces operational complexity while maintaining or improving the quality of search result organization.
3Loss of information
If multiple categories are searched simultaneously, then comprehensive results are provided, but processing time increases
Solution Approach 1:
The patent performs preliminary classification of the search query into multiple relevant categories before executing the search. By pre-identifying which categories are relevant to the user's query, the system can efficiently retrieve results only from those specific categories rather than searching all categories, reducing processing time while maintaining comprehensive coverage.
Solution Approach 2:
The patent applies partial action by selecting only the most relevant categories for a given search query rather than searching all possible categories. This selective approach provides sufficiently comprehensive results for the user's needs while significantly reducing the processing time required to search across multiple categories.
Data Source
AI summary
Disclosed are methods and apparatus for executing a search query. In accordance with one embodiment, a search query is obtained. The search query is classified into one or more of a plurality of categories. The search query is executed for each of the one or more of the plurality of categories. Search results corresponding to the search query are obtained for each of the one or more of the plurality of categories. The search results are then provided for each of the one or more of the plurality of categories.