Localized Search Ranking by Venue Popularity and Time
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Solution Overview
Problem
Mobile device users in unfamiliar environments face challenges in finding popular and suitable entertainment or dining venues due to lack of information on uniqueness, quality, and popularity, often relying on outdated or unreliable reviews.
Innovation Solution
A system that captures and processes search queries and results from mobile devices within localized regions and timeframes, ranking popularity based on frequency and relevance to provide users with insights into popular venues and activities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If users access general search engines to find venues, then they can obtain location information, but they lack information on uniqueness, quality, and popularity of venues
Solution Approach 1:
The patent extracts and highlights only the most relevant information from search results - specifically popularity metrics, quality indicators, and uniqueness factors - while filtering out extraneous data. This allows users to quickly identify suitable venues without being overwhelmed by excessive search results, directly addressing the contradiction between information completeness and result manageability.
Solution Approach 2:
The system introduces an intermediary processing layer that analyzes search results and generates popularity rankings, quality scores, and relevance metrics. This intermediary layer transforms raw search data into actionable insights, enabling users to make informed decisions about venue selection without manually evaluating numerous search results.
2Adaptability or versatility
If users search for venues without time context, then they can find available locations, but they cannot determine if venues are suitable for their specific time of interest
Solution Approach 1:
The system performs preliminary analysis of venue availability and popularity across different time periods, pre-computing rankings and suitability metrics for various times of day and days of the week. When users search, they immediately receive time-specific recommendations without needing to perform additional verification, eliminating time loss while maintaining high adaptability to their specific time requirements.
Solution Approach 2:
The patent implements dynamic search results that adapt to the user's specified time context, automatically adjusting venue rankings and recommendations based on time-of-day and day-of-week patterns. This dynamic adaptation ensures venue suitability for specific times while eliminating the need for users to manually check availability across multiple sources.
3Reliability
If users rely on traditional reviews to assess venues, then they can obtain some quality information, but the reviews may be outdated or from untrustworthy sources
Solution Approach 1:
The system implements feedback mechanisms that continuously monitor and update venue quality metrics based on recent user behavior, search patterns, and engagement data. This real-time feedback loop ensures that popularity rankings and quality indicators remain current and reliable, automatically adjusting to reflect the most recent information without requiring complex manual verification processes.
Solution Approach 2:
The patent employs self-service mechanisms where the system automatically verifies review authenticity and currency through multiple data sources and validation algorithms. Quality metrics are self-updated based on aggregated user interactions, eliminating the need for users to manually verify review reliability while maintaining high standards of authenticity and timeliness.
Data Source
AI summary
Briefly, embodiments of methods or systems providing a mobile device user with localized and/or time-selectable search query terms and/or search results are provided.