On October 19, 2026, Naver added a "Trend" feature to its Papago translation app that recommends popular Korean products and places to foreign tourists, built from AI analysis of image-translation data. The update is a concrete example of a wider shift in which AI systems increasingly shape what travelers and shoppers discover, not just what they translate or search.
What Naver Added to Papago
Naver announced on October 19, 2026, that it had added a new "Trend" feature to its Papago translation app for foreign visitors to South Korea. The feature surfaces products and places that foreign users have frequently looked up through Papago's image-translation function, then links those items directly to booking and navigation tools, according to Korean outlets Newstown and Newspim.
The Trend section is organized into two tracks. The product track lists a top-100 ranking, fast-rising items, and category pages for beauty, food and health. The place track highlights popular and fast-rising locations, with regional spotlights on Seoul's Myeongdong, Hongdae and Seongsu districts as well as Busan and Jeju, per Newstown's reporting confirmed by Financial News (fnnews) and Hankooki.
Products: top 100, fast-rising, beauty, food, health
The feature supports English, Japanese, and Simplified and Traditional Chinese; users with other foreign-language device settings see the English version by default. It is accessed through a "Trend" button in the top-right corner of the Papago home screen, and only appears when a device's language is set to a foreign language, according to Hankooki and Newspim.
From Translating Signs to Recommending Products
The launch builds on incremental changes Naver made earlier in 2026. In April, Papago began attaching Naver Place restaurant information and AI-generated product summaries to image-translation results. In July, it extended that integration to Japanese signage and products, linking results to local review platforms, according to Newstown.
Papago is expanding services beyond translation in a direction that helps foreign tourists across their trips.
— Shin Jung-hwi, Naver's AI search leader (via DigitalToday)
How the Recommendation Engine Works
Papago's Trend feature does not ask users what they want; it infers interest from behavior. Naver aggregates anonymized image-translation activity across its foreign user base, ranks items by how often and how recently they were looked up, and groups results by category and region before layering on Naver's own data — blog posts, shopping listings and place reviews — translated into the user's language.
That pattern — turning incidental usage data (a photo of a menu, a storefront sign) into a ranked discovery feed — mirrors what analysts describe as the broader direction of AI personalization. IDC, in a January 2026 analysis, describes a shift from campaign-based marketing toward continuous, "ambient intelligence" that adapts recommendations in real time based on a traveler's preferences, budget and context, provided a business's data is kept machine-readable so AI systems can find it.
The Numbers Behind the Shift
AI personalization in travel and shopping: key figures
Metric
Figure
Source
Growth in shopping-related generative-AI use
+35% (Feb 2025–Nov 2025)
BCG, Jan 2026
GenAI users who engage at least weekly
66%
BCG, Jan 2026
Consumers expressing high trust in GenAI shopping results
60%+
BCG, Jan 2026
Travel bookings forecast to be executed by AI agents by 2030
30%
IDC, Jan 2026
Hospitality/travel AI budgets forecast to target personalization by 2030
50%
IDC, Jan 2026
Languages supported by Papago's Trend feature
4 (English, Japanese, Simplified & Traditional Chinese)
Naver, via Newstown/Hankooki, Oct 2026
BCG's survey work, published in January 2026, found that consumers increasingly treat AI chat tools as a shopping touchpoint on par with — or ahead of — traditional channels: among people who use generative AI for shopping daily, AI assistants ranked as their single most influential touchpoint, spanning categories from groceries to travel and electronics.
Why It Matters Beyond One App
Papago's Trend feature is a narrow, single-company example, but it illustrates a mechanism now being built across the travel and retail industries: recommendations generated not from a user's typed query alone, but from aggregated behavioral signals across many users, then personalized by language, location and category. IDC's analysis frames this as requiring unified, real-time data across every guest or shopper touchpoint — a technical and organizational shift, not just a new app feature.
For now, Naver's rollout is limited to foreign visitors inside Korea using Papago with a non-Korean device language. Whether similar discovery layers get added to translation or shopping apps elsewhere will depend on whether companies can supply the real-time, machine-readable data that such AI recommendation systems rely on, per IDC's assessment.
Questions
What is Papago's new 'Trend' feature?
It is a section inside Naver's Papago translation app, launched October 19, 2026, that shows foreign tourists in Korea which products and places other foreign users have been checking via Papago's image-translation feature, then links to shopping, reviews, directions and reservations.
How does it personalize recommendations without users entering preferences?
It ranks items based on aggregated image-translation activity from many foreign users — what they've photographed and translated — rather than on typed searches, then layers in Naver's own blog, shopping and place-review data.
Which languages does Papago Trend support?
English, Japanese, and Simplified and Traditional Chinese; other foreign-language device settings default to the English version, according to Naver's announcement reported by Newstown and Hankooki.
Is AI personalization in travel and shopping growing beyond this one app?
Yes. BCG found generative-AI shopping use grew 35% between February and November 2025, and IDC forecasts that by 2030, 30% of travel bookings will be executed by AI agents and half of hospitality/travel AI budgets will target personalization.
What did Naver change before this update?
In April 2026, Papago added Naver Place restaurant details and AI product summaries to image-translation results; in July 2026, it extended this to Japanese signage and products with local review links, according to Newstown.
How the world is telling it
KoreanKorean outlets (Newstown, Newspim, Financial News, Hankooki) frame the Papago update as Naver positioning itself as an 'AI agent' for inbound tourists amid growing hallyu-driven shopping tourism, emphasizing the leap from a translation tool to a discovery and booking platform covering Seoul districts, Busan and Jeju.
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