Common Mistake 1: Geo – Address
Example:
User Location: 52.20428466796871, 4.4000244140621
Viewport Age: Fresh
Test Locale: Netherlands
The query refers to an address even if the format is not ideal. These queries need a little more research but using a mapping tool or official postal website, we can confirm that this refers to an existing address (Fonteinkruid 5 2371KN Roelofarendsveen).
What is the general query intent?
© Geo (address features)
O Natural 84 Physical Feature
O POI – Transit
O POI – Other (Non-Transit)
O Other Intent
What type of Geo feature is the query expecting?
¥ Address
O Building Name
O Street
O Highway Exit
O Highway
O Intersection
O Sub-block/Chome (Japan specific)
O Block/Oaza (Japan specific)
O Sub-Locality
O Locality
O Postal Code/Zip Code
O County/District
O State/Region/Province/Similar Administrative District
O Other Above Locality
O Country
O Continent
O Other
O Housing Community
Common Mistake 2: Misspellings
Example:
Query: Vondelaan Utrecht, Netherlands
User Location: 52°04’42.2″N 5°06’58.1″E
Viewport Age: Fresh
Test Locale: Netherlands
Be extremely careful with typos in the query. In the query above “Vondelaan” is missing one L and should be written “Vondellaan” as per official signage and resources for the street in Utrecht. A query like this one should be rated “Yes” for misspellings.
Does the query contain any misspellings?
® Yes
Including typos, missing characters, diacritics, accent marks, spacing errors, etc.
O No
Note: use of official abbreviations/acronyms and missing capitalizations are not considered a misspelling
Common Mistake 3: Category of POI
Query: Parking Porto, Portugal
User Location: 52°04’42.2″N 5°06’5 8.1″E
Test Locale: Netherlands
The query is looking for a general category of POIs (parkings) in a specific location (Porto, Portugal). Therefore the rating should be as follows:
What is the general query intent?
O Geo (addressable features)
O Natural & Physical Feature
O POI – Transit
|® POI – Other (Non-Transit) |
O Other Intent
What type of POI is the query expecting? (see guidelines below)
O Single Location POI
Unique business or man-made attraction with a single location
® Category of POI
Type of business or product with no specified brand/PO! name
O Chain POI
Businesses or similar entity that has more than one location. Also for specific branch of a brand
Are there any additional elements in the query indicating where the expected result should be located?
® Yes – Geo feature
ex: meat market Greensboro, NC / Taco bell 34 st / metro stations Moscow
O Yes – Another POI feature
Containment POI (e.g. louis vuitton dubai mall), nearby POI (e.g. parking near crown casino, transit station (e.g. McDonalds victoria station), or nearby physical features (e.g. gas station yosemite park)
O Yes – User location or Other type of feature
Location indicator that implies results are expected near the user location (ex: near me, nearby, etc)
O No
https://geoworkerz.telusinternational.ai/mapping/MappingPDF/Additional%20Guidelines/QueryIntentC lassification_Guidelines.pdf