Naver Applies Shopping Exploration Technology Including Product Catalog Recommendations to Japan's Line

[Asia Economy Reporter Kang Nahum] Naver announced on the 31st that it has applied shopping-related exploration technologies such as product recommendation, search, and catalog to the Japanese LINE Shopping service. This is an attempt to expand these steadily advanced technologies to the Japanese market, taking a step further toward becoming a global technology platform.

The exploration technologies applied by Naver to LINE Shopping are characterized by the integration of shopping artificial intelligence (AI) technology and platform know-how. Based on shopping-related exploration technologies, Naver has systematized various product data within Japan to build a product database (DB) of up to 1 billion items for LINE Shopping, providing Japanese users with refined product search results at the catalog level, supporting a more convenient shopping experience on mobile.

Additionally, LINE Shopping has introduced a 'Simple Filter' that allows users to check product search results based on desired criteria such as brand, category, and price. Features like 'Price Comparison,' 'Related Products,' and 'Purchase Options' have been applied to enable convenient comparison of various product information. In particular, considering the shopping characteristics of Japanese users who frequently trade used goods, a 'View with Used Price' filter has also been implemented.

Following catalog-level shopping search, Naver plans to sequentially apply integrated shopping search, query-specific search optimization, and AI recommendation technologies in the future.

Kim Jung-woo, Naver Shopping Aggregation Lead, said, "This is a meaningful challenge to enter the global market with Naver's unique search technology and shopping AI technology know-how proven domestically," adding, "We will continue to strive to enhance various digital experiences such as shopping and search for global sellers and users based on Naver's excellent technological competitiveness."

This content was produced with the assistance of AI translation services.