SEOUL, Feb. 17 (Korea Bizwire) – Naver, South Korea’s leading web portal, said Friday that it is launching a beta service for AIRS (AI Recommender System), the company’s up and coming AI system that will now recommend news articles based on one’s web content consumption patterns, time spent, and personal interests.
The company said that the beta version will only be provided for now to a group of randomly selected users.
Those lucky (or unlucky) enough to experience the new features will notice on Naver’s mobile platform a new section appear in the news page section, which will be based on news articles previously read by the user or by other users that share similar interests.
AIRS was first introduced last year for Naver’s My Feed feature, which offers a real-time feed of web content from Naver’s blogs and other online posts, and Naver TV, a video content service.
The internet company plans to continue expanding the use of AIRS to other Naver platforms such as the Sports and Webtoons (web comics) sections, while further developing content recommendations via a recurrent neural network technology, a self-learning artificial network.
“Through AIRS, we expect our mobile users to have more convenient access to news articles that they are likely to be interested in,” said a company official. “We’ll continue our efforts to provide a transparent news service based on technology.”
Meanwhile, Kakao, Naver’s biggest competitor, launched in 2015 RUBICS (real-time user behavior-based interactive content recommender system), a similar recommendation algorithm for its web portal Daum.
By Kevin Lee (firstname.lastname@example.org)