Jessie is shopping for her husband's anniversary present. He loves to go fly fishing whenever he can. Jessie uses her mobile phone to ask for the nearest outdoor supply store. Her phone opens up the map application with directions to a nearby location only five minutes away. This is an example of what kind of personalized user experience?
Using known user signals
Delivering a relevant landing page
Google's One Tap sign-in
Using machine learning
Explanation
Analysis of Correct Answer(s)
The correct option is Using known user signals. A user signal is a piece of data about a user or their context—such as their location, device type, time of day, or past behavior—that is used to tailor and personalize their experience.
- In this scenario, Jessie's current physical location is the key user signal.
- Her phone's operating system and the map application use this signal to understand her immediate context and need.
- The result is highly personalized: instead of a generic list of all stores, she receives directions to the one that is most convenient for her at that moment.
Analysis of Incorrect Options
- Delivering a relevant landing page: This refers specifically to directing a user to a targeted webpage after they click a link or ad. The example describes an in-app map experience, not a website landing page.
- Using machine learning: While machine learning models likely power the search and mapping service in the background, "using known user signals" is the more direct and accurate description of the personalization technique illustrated in the example. The signal (location) is the input for personalization.
- Google's One Tap sign-in: This is a specific feature for simplifying user login and authentication. It is unrelated to providing location-based search results.