Maps Search Query Intent

1. Introduction

This document explains the Maps Search Query Intent evaluation. In this evaluation, you will be shown queries from the Maps Search Evaluation and asked to indicate the type of result the user most likely expects to receive. This expected result type is also known as the Query Intent. You will also indicate if the query contains any information indicating where the expected result should be or any misspellings

2.Task Interface and Questions

This is the web-based rating tool used in the Query Intent evaluation.

As in the Maps Search Task, a user location and viewport will be displayed. In this task, the user location will be indicated by a red pin rather than the yellow bust + star icon.

In this task, you will answer several questions from the following list:

• What type of result is the user expecting?
• What type of POI is the user most likely expecting?
• Which of the following categories best applies to the user query?
• Select All Address Components Within the query.
• Are there any additional elements indicating where the expected result should be located?
• Select all elements within the query that are used to indicated the location of the expected result.
• Query Contains Misspelling

The specific questions answered depends on your answers. If the query is expecting a POI, you will be required to indicate the type of POI expected. If the query is a POI or Natural feature, you will be required to indicate if the POI has any additional elements that indicate where the expected result should be located and, if it does, select all of those elements. For queries that are expecting an address result, you will check all address elements that are in the original query. For queries where the expected result type is “Other”, you will indicate which category best applies to the user query.

3.Query Intent and the Expected Result Type

To determine query intent and answer the question What Type of Result is the User Expecting?, use a combination of your own research and local knowledge plus information found in the rating interface, which includes:

• User location
• User viewport
• Viewport freshness

In this task, queries will be classified as likely expecting one of four result types.

Some queries may be for a non-existent entity or a closed business. Your Query Intent rating should assume that the entity exists. For example, if the user searches for “Steve’s Barbecue” and your research indicates that there was a business near their location named “Steve’s Barbecue” but it closed two years ago, the correct answer is still POI. Similarly, if the user searches for an address that does not exist, the correct answer is still Address

3.1. Query Intent Examples

4.Result Sub-Types

4.1. POI Sub-Types

If a query is expecting a POI, you will be asked What type of POI result is the user most likely expecting?

4.2.Other Sub-types

If  you answer the expected result type question with Other, you will be asked Which of the following categories best applies to the user query?

4.3.Sub-Type Examples

5. Parts of an Address

If a query is expecting an Address result, you will be asked to check all parts of an address that are present in the query

Address Element	Explanation	Example Queries with Element Highlighted
Unit/Apt/ Room Number	A number indicating a specific unit, apartment, room or similar entity within a complex at a single street address. Similar style address elements may also be classified in the Unit label (staircase, floor level, etc).	473 Via Ortega, Room 397 253 W 47th St #1, New York, NY 10036
Street Name	The name of a road or street.	1600 Pennsylvania Ave McDonalds 1560 Broadway, New York, NY 10036 116 Queen St 28516 253 W 47th St #1, New York, NY 10036
Building	The name of a building that is included as part of an address. Building names are uncommon address components in many locales. Stand alone building names (not included as part of an address) are considered POIs.	• Kunal Icon Pimple Saudagar, Aundh Camp, Pune-411027
Sub- Locality	Sub-localities are geographic areas smaller than the city/town level. Common sub-localities are neighborhoods and city districts.	Etobicoke, Toronto Northern Quarter Manchester, Manchester Downtown San Francisco
Postal Code	The code used by the postal service in mail delivery.	McDonalds 1560 Broadway, New York, NY 10036 116 Queen St 28516 Maidstone ME17 1PL, UK
Locality	A town, city or municipality level of division, generally below county and state level.	McDonalds 1560 Broadway, New York, NY 10036 4800 Forest Hill Ave, Richmond, VA 23225 Northern Quarter Manchester, Manchester
Address Element	Explanation	Example Queries with Element Highlighted
Region/ State/ Province/ Prefecture	An administrative district beneath the country level that is larger than the locality level.	McDonalds 1560 Broadway, New York, NY 10036 4800 Forest Hill Ave, Richmond, VA 23225 142 Nash Grove Lane, Wokingham, RG40 4HF
Country	An independent nation as typically seen in addressing at the above state/region/ province level.	McDonalds 1560 Broadway, New York, NY 10036, USA 4800 Forest Hill Ave, Richmond, VA 23225, USA 142 Nash Grove Lane, Wokingham, RG40 4HF, United Kingdom
Other AboveLocality	Any other administrative region that is larger than a locality (ex. districts)	San Francisco Bay Area, California West Coast USA Asia
Intersection	An intersection of two streets	• Mission St and Cesar Chavez, San Francisco
Other	Any other part of an address that does not fit into the provided categories.

6.Additional Elements Indicating Location

POI and Natural Feature result queries may contain additional elements that indicate where the expected result should be located. For example, the query McDonalds 824 3rd Avenue, 50th St, New York, NY 10022 is expecting a McDonalds at or near to 824 3rd Avenue.

Whenever you indicate that a query is expecting a POI or an Natural Feature type result, you will also indicate if the query has any elements indicating where the expected result should be located.

If you indicate it has any of these elements, you will be shown a list of all result sub-types and address elements. Check ALL elements that apply that are used to indicate the expected location of the result.

7. Misspellings

You may come across some queries that have misspellings in them. If you find a query that has a misspelling, please indicate that it is misspelled by checking “Query Contains Misspelling”.

We do not consider the following misspellings:

• Official Acronyms/Abbreviations
• Missing capitalization

Common types of errors are missing characters, spacing errors, missing diacritics/accent marks, and generic typos.

8.Foreign Script/Language Queries

In some cases, you may run across a query in a foreign language/script. Please select the checkbox “Foreign Language/Script Query” to indicate the query contains a foreign language/script and use an online translation service and research to understand the query’s intent.

9.Examples

Query	User Location or Fresh Viewport Centerpoint	Query Intent	Sub Type	Parts of an Address OR Location Indicating Elements	Explanation
West ave baptist church, burlington	40.82630, -91.165	POI	Single Location POI	✓ Locality	Based on the user’s location and query, we can determine that the user is looking for West Ave Baptist Church, a single location POI. The user has provided “Burlington” as an element to help indicate a location of their expected result. Researching this query and the user’s location shows that, in this context, Burlington is being used as a locality.

Query	User Location or Fresh Viewport Centerpoint	Query Intent	Sub Type	Parts of an Address OR Location Indicating Elements	Explanation
Petco Animal Supplies, 4600 Hardy St #23a, Hattiesbur g, MS 39401	31.32271, -89.37298	POI	Chain or Brand	Street Number Street Name Unit Number Locality ✓ Region/ State/ Province Postal Code	While this query is clearly looking for a specific location of a Chain, any query for a business that is part of a chain should be indicated as having a Chain or Brand Sub-Type. The address provided indicates where the Petco result should be near or at. Each part of the address included should have it’s corresponding component checked in the Location Indicated Elements checkboxes.
Food near me	47.61528,-12 2.31135	POI	Category	✓ User Location	This query is looking for POIs that fulfill the broad category of “food”. Near Me is a location indicating element that results in the User Location option checkbox being selected.

Query	User Location or Fresh Viewport Centerpoint	Query Intent	Sub Type	Parts of an Address OR Location Indicating Elements	Explanation
Atelier bakery on trade	36.09006, -80.29448	POI	Single Location POI	✓ Street Name	Research indicates that Atelier Bakery is or was a bakery located in North Carolina. It looks like the location may have moved several times but the business is not/ was never part of a chain/multilocation business. The best answer for this query then is to label it as a Single Location POI. This query has “on trade” providing context to where the expected result should be located. Here, research shows that Trade is part of a street name.
Mount pleasant high san jose	37.36861,-12 1.91067	POI	Single Location POI	✓ Locality	Research indicates that there is a “Mt. Pleasant High School” located in San Jose, CA. The query is looking for this school with “San Jose” provided as additional elements to indicate an expected result location.