Custom Local Search Query Parsing
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Solution Overview
Problem
Conventional local search tools rely on aggregated data from consolidators and yellow page data collecting firms, limiting the content and accuracy of search results, and are prone to errors due to incorrect spelling or imprecise queries.
Innovation Solution
A system that supports custom local search by integrating user-provided data through custom datasets, which include shape and attribute information, and contextual datasets with precise geographic data, allowing for free-form textual queries and spatial processing to provide accurate and relevant results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional local search tools use aggregated data from consolidators and yellow page data collecting firms, then the search tool can provide basic local search functionality, but the content and accuracy of search results are limited and prone to errors due to incorrect spelling or imprecise queries
Solution Approach 1:
The patent combines multiple data sources including user-generated content, community-contributed data, and traditional yellow page data into a unified search system. This merging of diverse data sources enriches the content variety while maintaining accuracy through the structured processing and validation mechanisms described in the patent.
Solution Approach 2:
The patent introduces an intermediary processing layer that receives, validates, and standardizes data from multiple sources before making it searchable. This intermediary layer handles spelling variations and imprecise queries by mapping them to standardized data structures, thereby improving reliability without limiting content variety.
2Ease of operation
If yellow page data is structured in a limited manner, then queries can be executed efficiently, but the data cannot accommodate free-form queries or handle incorrect spelling variations
Solution Approach 1:
The patent pre-processes and structures user-generated data into standardized formats with defined schemas, indexes, and metadata structures before the data is needed for searching. This preliminary structuring enables efficient query execution while the flexible schema design accommodates free-form queries and spelling variations through adaptive matching mechanisms.
3Ease of manufacture
If the search system relies on traditional yellow page data sources, then data collection is straightforward, but the system cannot incorporate user-generated or community-provided custom content
Solution Approach 1:
The patent enables users and communities to self-serve by directly contributing their own local business data, reviews, and information to the search system. Users can submit custom content through simplified interfaces, and the system automatically processes and integrates this user-generated content into the searchable database, thereby increasing data volume and diversity while maintaining collection simplicity.
Data Source
AI summary
A method described herein includes receiving a query that is configured by an issuer of the query to be utilized to retrieve a portion of local search content, wherein the local search content comprises a first dataset and a second data set, wherein the first dataset comprises a first entity and the second dataset comprises a second entity, and wherein the query comprises a first token and a second token. The method also includes parsing the query such that the first token of the query is mapped to the first entity in the first dataset and the second token of the query is mapped to the second entity in the second dataset. The method also includes returning search results based at least in part upon the parsing of the query.