Search Query Location Prediction for Mobile Relevance

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Solution Overview

Problem

Mobile devices face challenges in providing relevant search results due to limited input capabilities, smaller displays, and slower data connections, making it difficult to effectively utilize location-based information without explicit user input.

Innovation Solution

Systems and techniques that predict the relevance of location to a search query and promote location-based search results, even if location information is not included in the query, by using methods such as determining if a location indicator is associated with the device, generating modified search queries, and sequencing results based on predicted relevance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If location-based search results are promoted without explicit user input, then relevance of search results is improved, but system complexity increases

Engineering Contradiction:
Improverelevance of search resultsVSAvoidsystem complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system performs preliminary actions by obtaining location information from the mobile device before processing the search query. Location indicators are retrieved and stored in advance, allowing the system to automatically associate location data with search queries without requiring explicit user input, thereby improving result relevance while managing complexity through pre-computation

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system enables self-service by automatically detecting and utilizing location information from the mobile device without requiring user intervention. The device's own location capabilities are leveraged to enhance search results, allowing the system to serve itself by autonomously determining location relevance and sequencing results accordingly

Inventive Principle:
Principle #25Self-service

2Measurement precision

If location information is automatically obtained and used, then search result relevance is improved, but user privacy concerns increase

Engineering Contradiction:
Improvesearch result relevanceVSAvoiduser privacy concerns
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The system introduces an intermediary approach by obtaining location information from the mobile device's existing location capabilities rather than directly accessing sensitive user data. The location indicator serves as an intermediary that provides necessary spatial context for search results while maintaining a layer of abstraction that addresses privacy concerns through indirect data acquisition

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If location-based results are generated for every query, then information accuracy is improved, but data transmission time increases

Engineering Contradiction:
Improveinformation accuracyVSAvoiddata transmission time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system applies local quality by selectively generating location-based search results only when location information is available and relevant to the specific query, rather than uniformly for all queries. This targeted approach ensures high information accuracy for location-sensitive searches while minimizing unnecessary data transmission and processing time for queries where location data is unavailable or irrelevant

Inventive Principle:
Principle #3Local quality

4Measurement precision

If location indicators are determined from device or network sources, then location accuracy is improved, but device resource consumption increases

Engineering Contradiction:
Improvelocation accuracyVSAvoiddevice resource consumption
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system implements multi-functionality by utilizing existing location capabilities already present in mobile devices and communication networks. Rather than introducing dedicated location-determination hardware or software, the invention leverages universal location-indicating functions that mobile devices and networks already possess, thereby achieving improved location accuracy without significantly increasing device resource consumption

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS8996507B2Location in search queries
Publication Date: 2015.03.31 GOOGLE LLC
  • US8996507B2 patent drawing
  • US8996507B2 patent drawing
  • US8996507B2 patent drawing

AI summary

A computer-implemented method includes receiving a search query from a remote device, determining if the search query includes location-related information, and if the search query includes location-related information, generating a first result set based on the search query and the location-related information, and if the search query does not include location-related information, determining whether a location indicator is associated with the remote device, and if a location indicator is associated with the remote device, generating a second result set based on the search query and the location indicator.