AI to help readers find more relevant news articles

Readers of The Straits Times and other digital news sites of Singapore Press Holdings (SPH) will soon have articles curated for them based on their news consumption habits and other attributes.

SPH yesterday said it is partnering local machine learning start-up, DC Frontiers, to develop a content recommendation engine driven by artificial intelligence (AI).

The engine will use semantic analysis and collaborative filtering algorithms to understand SPH's wide variety of content and its diverse base of users, automatically tailoring relevant content to each reader's preferences.

SPH deputy chief executive Anthony Tan said: "AI technologies offer great potential in the news and media industry, and we are keenly exploring ways to apply them to improve our products and better serve our users.

"With this engine, readers of The Straits Times and other digital news sites of SPH will soon be able to access more relevant content automatically tailored to their preferences.

"This will not only enhance the reader journey but also increase internal productivity within our newsrooms."

AS YOU LIKE IT

With this engine, readers of The Straits Times and other digital news sites of SPH will soon be able to access more relevant content automatically tailored to their preferences.

SPH DEPUTY CEO ANTHONY TAN, on the AI-driven content recommendation engine.

Mr Daryl Neo, founding director of DC Frontiers, said: "We are pleased to collaborate with SPH on creating new value for its users. The news is a valuable source of curated reliable information, and this AI engine is an important foundation which will enable more things to come."

The project will be partially funded by the Infocomm Media Development Authority.

A version of this article appeared in the print edition of The Straits Times on July 12, 2018, with the headline 'AI to help readers find more relevant news articles'. Print Edition | Subscribe