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Systems, methods and apparatus for location awareness using local semantic scoring

A fractional, defined technique used in special data processing applications, instrumentation, computation, etc.

Active Publication Date: 2018-12-18
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For example, users cannot browse regions or discover entities of interest based on high-level preferences or semantic interests

Method used

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  • Systems, methods and apparatus for location awareness using local semantic scoring
  • Systems, methods and apparatus for location awareness using local semantic scoring
  • Systems, methods and apparatus for location awareness using local semantic scoring

Examples

Experimental program
Comparison scheme
Effect test

example 1

[0044] Example 1 - Combination of Feature Scores and Search Results

[0045] In this example, the user is interested in finding hotels in cities that the user is not familiar with. The user wants to choose a hotel in San Diego that is part of the My-Favorite-Hotel hotel chain.

[0046] figure 1 An example of a results page displayed to a user in response to entering the search query "San Diego My-Favorite-Hotel" in the search query box 110 is schematically shown. This produces at least two response results 121 and 126 corresponding to different locations of the My-Favorite-Hotel in San Diego. Other general results displayed by the search engine and / or another application, such as other responsive results 131 , suggested queries 134 , and sponsored results 137 may also be provided. Responsive results 121 and 126 also include tabs 122 and 127 that can be selected by the user to display additional information about the results.

[0047] figure 2 An example of the results ...

example 2

[0049] Example 2—Filtering Search Results Using Feature Scores

[0050] In this example, the feature score is used to filter information within an application, such as an application for identifying desirable homes for sale in a city. Figure 4 An example of a map display showing homes for sale is schematically shown. exist Figure 4 In , explicitly shown locations 411, 412, 413, and 414 represent houses for sale within the display area. exist Figure 4 In , three additional regions are also schematically depicted. Areas 420 enclosed within solid lines represent areas with a pedestrian proximity or walkability score of at least 7.1 (on a scale of 0.0-10.0). Areas 430 within the dotted lines represent areas that have an accessibility score (based on proximity to arterial roads) of at least 6.0. Areas 440 within dashed lines represent areas with scores of auxiliary values ​​of at least 7.5. The secondary value specified in this example is the average of the crime frequen...

example 3

[0052] Example 3—Display of underlying features

[0053] Figure 5 An example of a map area displayed to a user on a mobile device is shown. The user has requested the display of a feature score 550 for a meal based on a point of user selection, such as the user's current location 555 . exist Figure 5 , a plurality of markers such as markers 571 and 572 are also displayed. Labels 571 and 572 correspond to features identified as being relevant to computing the scoring model to generate feature score 550 . exist Figure 5 In the display example shown in , in addition to showing feature score 550 and indicia 571 and 572, descriptions of identified features 561 and 562 corresponding to indicia 571 and 572, respectively, are provided. Descriptions 561 and 562 may include items such as links to websites for the feature, information about the feature, reviews about the feature, and / or other information that may be displayed as part of the search results page.

[0054] Provid...

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Abstract

Systems and methods are provided for determining a continuous scoring model describing one or more characteristics about a geographic area. The scoring model can be adapted to combine information from both point sources as well as area information. Based on the scoring model, the user can obtain feature values ​​for one or more features at any desired location or desired geographic area. Since features are represented by continuous functions, comparisons of feature values ​​for arbitrary geographic regions and / or combinations of features can also be performed to form auxiliary values.

Description

Background technique [0001] Search engines continue to gain improved capabilities for identifying responses to relevant search queries based on relative location. Location-based features may allow a search engine to filter out entities and / or other results that are not related to a location specified by a user, such as the user's current location. Based on such characteristics, once a location is specified, the user can determine whether nearby services are of interest, such as whether there are nearby restaurants, retail stores, or other entities of interest. While such location-based searches are beneficial, the user is still required to specify an initial location in order to begin the search. Thus, users who are not familiar with a particular geographic area have limited ability to use a search engine to find features of interest, such as dining or entertainment. For example, users cannot browse regions or discover entities of interest based on high-level preferences or ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F7/00
CPCG06F16/9535G06F16/9537
Inventor P.K.米什拉N.S.里迪
Owner MICROSOFT TECH LICENSING LLC