New Zealand – Autocomplete common mistakes

..Understand the difference between Autocomplete and Search

Autocomplete is more lenient than Search.

Please note that in Search, we presume to know the user intent and return only the results thatwould satisfy the user intent..

However, in Autocomplete you need to consider the possibility of the query being incomplete and provide a more broader search base for the user.

Also note that prominence is very important while rating Autocomplete results.

Please note that this document was made in November 2023. Guideline sections in this document refer to Autocomplete Guidelines September 2023. If there is any conflict between this document and a later version of the guidelines, please follow the latest version of the guidelines.

2.3.2 Implicit Location

If the user’s location intent is not expressly stated in the query, for example [chinese fo] or [479 margarita a], use the user location, Viewport location, and viewport age to determine the area of expected suggestions.

Viewport  User tocation Intent

2.3.2 Implicit Location

In this example the viewport is STALE, so it should be ignored. The implicit location intent is the user’s location.

Suggestion 2 is a bit further from the user than the closest matching addresses, so its relevance is Good.

1.2.2 Suggestion Relevance Rating

The relevance rating will take user intent into consideration as well as distance/prominence. Relevance is always rated independently of any data (name/classification or address) inaccuracies. This means that when rating relevance, we always assume that the suggestion exists (even if research reveals the location is closed) and that the data presented is correct.

Always rate against the real world: If there is a better result available but it is not shown, demote the existing result(s) considering the missing one(s)

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1.2.2 Suggestion Relevance Rating

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Street imagery shows that Clevedon Chocolate Shop no longer exists. However, we ignore this when rating relevance. We assume that the suggestion exists and that the presented name and address are correct.

If the business still existed, it would satisfy a primary user intent. It would also be one of the closest possible suggestions to the user.

There is no reason to demote relevance for this suggestion, so it is rated Excellent.

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.^{4.3.2 Distance}

Generally, the farther away the suggestion is from the location intent, the less desirable it becomes. This is especially true for queries highly dependent on distance to the user/viewport, like chain businesses, hospitals, pharmacies, or grocery stores.

Because a user can be provided with multiple similar suggestions, the closest entities providing the expected services should be considered the best options. As suggestions get farther away, they should |.

be considered less relevant and demoted accordingly. The context of each situation should be used to determine what constitutes a close or far suggestion. Factors which can affect distance demotions Include:

•Number of possible suggestions in the real world

•Distribution of all possible suggestions

•Populations density (rural, urban, suburban)

Distance refers to the direct distance from one point to another and is measured via a straight line. There is no need to account for the actual distance required to travel from one point to the other, such as driving distance...

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.^{4.3.2 Distance}

 

Query	Hom	User Location	-36.60369873046875, 174.6990966796875
Viewport Age	Fresh	Viewport Centre	-36.5990658478074, 174.69437062575

.Suggestion 2 is some distance from the user compared to other possible suggestions including another street called Homestead in Red Beach (suggestion 1).

The relevance of suggestion 2 should be demoted to Good or Acceptable. There are not enough possible suggestions in the area to justify demoting it to Bad.

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.^{4.3.2 Distance}