Naver Enhances Search Feed for Personalized Discovery

Naver has announced significant improvements to its Search Feed, aiming to provide users with more personalized, intuitive, and engaging content recommendations.

These updates are designed to better understand user preferences and offer a seamless exploration of new interests, particularly in areas like sports and entertainment.

Personalized Content Based on User Behavior

To refine the personalization of search results, Naver conducted A/B tests that analyzed user interactions with documents in the integrated search feed. By tracking which documents users clicked on, Naver was able to create tailored content recommendations based on user behavior. The updated Search Feed will now suggest topics, categories, and keywords that align with users’ real-time interests, ensuring a more personalized and engaging search experience.

Continuous Discovery of Trending Topics

The newly structured Search Feed is designed to help users discover and explore content on trending and popular topics. By presenting recommendations based on user feedback and search trends, Naver enables users to effortlessly delve into new topics of interest. The feed will also expand topics based on original search results, promoting further exploration without interrupting the user experience.

This enhanced approach allows Naver to recommend the latest and most relevant content across various categories, helping users stay up-to-date on current trends. The new structure increases the opportunity to discover high-quality content without merely extending the length of the search area.

Improved Ranking and Content Discovery

One of the key changes to the Search Feed is the shift from block-level ranking to individual document-level ranking. This enables more sophisticated content recommendations and analytics, resulting in longer dwell times and higher user satisfaction. Naver has optimized information volume to ensure users find the desired information efficiently while maintaining the quality of search results.

In terms of user experience (UX), Naver has introduced a more visually appealing format that allows users to scan content at a glance. This improved UX makes it easier to explore diverse content, including short-form videos, user-generated content (UGC), and even materials from Naver Cafes.

Launch Focused on Sports and Entertainment

The improved Search Feed will initially focus on queries related to sports and entertainment, including popular topics such as Son Heung-min, IU, and the KBO League. Naver plans to continue expanding the updated feed to more categories, ensuring that users can discover content tailored to their interests and usage patterns.

A Continued Evolution

Naver is committed to evolving its Search Feed through ongoing experimentation and user feedback. As the platform refines its ability to understand users’ tastes and intentions, the Search Feed will continue to offer more personalized and satisfying search experiences.

This update marks a significant step in Naver’s mission to provide search results that deliver information and guide users in discovering new interests and trends.

Stay tuned for more updates as Naver continues to enhance its search capabilities.

Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.