Addressing the cold-start issue in content recommendation remains a critical ongoing challenge. In this work, we focus on tackling the cold-start problem for movies on a large entertainment platform. Our primary goal is to forecast the popularity of cold-start movies using Large Language Models (LLMs) leveraging movie metadata. This method could be integrated into retrieval systems within the personalization pipeline or could be adopted as a tool for editorial teams to ensure fair promotion of potentially overlooked movies that may be missed by traditional or algorithmic solutions. Our study validates the effectiveness of this approach compared to established baselines and those we developed.

The robotics industry started off the year with acquisitions, 2022 predictions and product announcements. Our editorial team had no problem staying busy while keeping up with all of the news. Here are the Top 10 most popular robotics stories on The Robot Report in January 2022. Subscribe to The Robot Report Newsletter to stay updated on the robotics stories you need to know about. Magna International, a Canadian developer of car mobility technology, acquired the technology, intellectual property, and other assets from Optimus Ride, a Boston-based company developing SAE Level 4 autonomous vehicles (AVs).

SPLICE Software, which specializes in using big and small data and voice technologies to drive customer engagement, announced that the company was named one of the 10 Most Trustable Insurance Tech Solution Providers to Watch in 2020 by The Technology Headlines, a knowledge platform for enterprise IT community leaders. The publication's January issue includes a feature story on SPLICE and Tara Kelly, the company's founder, president and CEO. In its overview of the company, the article highlights Kelly's inspiration for creating SPLICE: a faulty AI-driven customer interface at a bank that left her thinking there had to be a better way to use customer data in automated interactions. Nearly a decade and a half later, SPLICE is providing that "better way" for clients in the insurance, financial services and retail sectors, giving forward-thinking organizations the ability to deliver personalized, data-driven messages seamlessly across multiple platforms. "Trust is incredibly important in any industry, but especially in the insurance sector, so it's an honor to be included on the 10 Most Trustable list," said Kelly.

The artificial intelligence boom has expanded into creative fields once deemed uniquely human, like music, poetry, and even narrative podcasts. AI has also started writing rudimentary news articles and assisting reporters, but a new startup launched Wednesday says it will use AI to publish breaking news about a wide variety of topics. The site is called "Knowhere," and its creators say that they believe AI can be used to write unbiased news. The site will publish three versions of every article, aggregated from right-, left-, and center-leaning websites. "Fake news, the Russia misinformation scandal, and all of these issues that are at the top of the Zeitgeist at the moment are all symptoms of a fundamental problem that information moves too fast and at too large a scale for us to be able to reliably parse it and understand the world as human beings," Knowhere editor-in-chief and cofounder Nathaniel Barling and told me on the phone.

Just how artificial is Artificial Intelligence? Facebook created a PR firestorm last summer when reporters discovered a human "editorial team" – rather than just unbiased algorithms – selecting stories for its trending topics section. The revelation highlighted an elephant in the room of our tech world: companies selling the magical speed, omnipotence, and neutrality of artificial intelligence (AI) often can't make good on their promises without keeping people in the loop, often working invisibly in the background. So who are the people behind the AI curtain? Cut to Bangalore, India, and meet Kala, a middle-aged mother of two sitting in front of her computer in the makeshift home office that she shares with her husband.

Here at Vilynx we're always looking to empower our customers by providing them tools that will help them make a big impact on their KPIs in the most efficient way. We're happy to announce that we just launched a brand new feature called Trending Stories. Trending Stories accompanies, and expands on, our existing Trending Topics feature. It uses Machine Learning to help streamline the editorial process by providing access to a real time stream of breaking news. As we crawl numerous news sites and social media, our deep learning algorithms are able to break through the chaos and identify topics which are being talked about and are gaining momentum.

What if artificial intelligence was the nurturing humus that the publishing industry and blogs need to bloom again? What if the future of blogging was in the virtual hands of an army of machines that can work together with professional writers to build and spread knowledge? This is the story of Samur Isma, founder and publisher of the online design magazine FREEYORK, which publishes 25-30 articles a week employing just two editors. How do they do this? Let's look closer to understand Samur's visionary model.

A four-year-old London startup called Echobox found traction in Europe and is poised to further expand in the U.S. with its AI-assisted social media product. Echobox, which has about 30 employees and raised $3.4 million in seed funding last year, aims to develop "AI for automating repetitive tasks" for publishers, according to CEO and founder Antoine Amann. The first product the company has brought to market is an automated social media tool that uses a publisher's internal audience analytics along with machine learning to completely run social media accounts. Le Monde in France and The Guardian in the U.K. are clients. A challenge with publishing analytics today is how to make sense of them, and Echobox isn't alone in trying to solve this.

Machine learning a subset of AI began to grow in the 1990s and has now become an integral part of many business strategies. Fuelled by an influx of data and unlimited storage it's been used to detect fraud, play (and win) games and enhance search engines. Through machine learning companies can track and respond to the personal preferences of individuals, theoretically giving the consumer more of what they want. It's easy to see how important this is for marketers and business strategists, but there's a less obvious benefactor. Within the media, data analysis is helping publications and websites to work out what information their users want to see, but as Facebook found recently, it can easily backfire.

The following piece is a guest post from Jessica Rovello, the CEO and co-founder of Arkadium, which provides interactive content to brands and publishers. Guest posts do not necessarily reflect the opinions of this publication. Is the growing adoption of Artificial intelligence (AI) products by digital publishers a much-needed lifeline for a struggling industry, or the next deadly threat to its survival? Some worry that AI will eventually "take over" journalism, replacing skilled humans with soulless, data-scraping machines. But these three industry leaders are showing how innovative implementation of AI can free newsroom resources to focus on the vital journalistic tasks--like reporting and editing--that humans do best.