AI News NQ Analysis

Gurunavi launches mood-based restaurant recommendation feature in AI app UMAME!

NQ Score 86/100
N1 Content Completeness 90

Key facts

  • Gurunavi launches mood-based restaurant recommendation feature in AI app UMAME!
  • Gurunavi will launch a new feature in its AI app UMAME! on June 4, 2026, to recommend nearby restaurants based on users' current mood, situation, and purpose, significantly reducing search time while outdoors.
  • Source: PR TIMES
  • Date: Fri Jun 05 2026 01:00:01 GMT+0900 (Japan Standard Time)

Direct answer

Gurunavi will launch a new feature in its AI app UMAME! on June 4, 2026, to recommend nearby restaurants based on users' current mood, situation, and purpose, significantly reducing search time while outdoors.

Citation
Gurunavi launches mood-based restaurant recommendation feature in AI app UMAME! (Fri Jun 05 2026 01:00:01 GMT+0900 (Japan Standard Time)), PR TIMES
Source
PR TIMES
Date
Fri Jun 05 2026 01:00:01 GMT+0900 (Japan Standard Time)

AI Summary (NQ-processed)

Gurunavi will launch a new feature in its AI app UMAME! on June 4, 2026, to recommend nearby restaurants based on users' current mood, situation, and purpose, significantly reducing search time while outdoors.

AI Analysis

Frequently Asked Questions

Q: When did the new feature of 'UMAME!' become available?
A: It has been available since Thursday, June 4, 2026.
Q: What are the main features of the new update?
A: The three main features are: instant recommendations based on 'who', 'mood', and 'purpose'; a location-linked map UI; and a collection feature that saves favorites to improve AI learning.
Q: How much does the 'UMAME!' app cost?
A: The app is free to use.
Q: What languages and operating systems are supported by 'UMAME!'?
A: It supports Japanese and English, and is available for iOS and Android.
Q: What survey result from Gurunavi led to this feature's development?
A: A survey showed that 28.6% of users felt that 'searching for restaurants on websites or apps takes too much time due to information overload'.