The cineSearch service enhances content discovery via an extensive catalog of enriched metadata to power a next-generation recommendation system with unified search across all streaming platforms.
Cineverse Corp., a global streaming technology and entertainment company, announced the forthcoming launch of cineSearch. An innovative AI-powered movie search platform, cineSearch aims to revolutionize the search and discovery (SAND) experience to answer audiences’ most pressing question: “What do you want to watch?”
The public beta of cineSearch will be available within the Cineverse streaming platform in Spring 2024 (users can join the waitlist for the public beta starting today at www.cinesearch.com). It will be made more widely available in partnership with OEM and third-party streaming platform partners shortly.
The cineSearch service was developed by Cineverse using Google Cloud’s Vertex AI Search. The core cineSearch technology was built as an adaptive layer on top of the PaLM 2 Large Language Model (LLM) to craft a chatbot specifically tuned for feature film and television entertainment. Using PaLM 2 and Google Cloud’s gen AI infrastructure, cineSearch promises an innovative, conversational experience for those seeking advice on what films to watch.
As part of this new service, Cineverse is introducing a new “artificial intelligence-based video advisor” known simply as “Ava.”
The launch of Cineverse’s AI-powered search feature will utilize the first proprietary movie industry-specific AI model specifically tuned with an extensive set of metadata – both standard metadata as well as computer vision-based enriched, contextual metadata (such as weather or setting) – across more than 100,000 Hollywood movies and television shows. cineSearch offers a single unified search engine with support for dozens of search dimensions such as theme, tone, mood, setting, music score, plot, micro-genre, and many more traits for films available across all streaming services.
The cineSearch service will also utilize scene-specific metadata and a viewer’s previous viewing history as well as their location, the current date, the local weather conditions, and other factors to determine the ideal titles to recommend. Viewers can conduct searches across many characteristics at the film and scene level, making finding the perfect movie more intuitive, simple, and entertaining. In addition, if a particular movie is unavailable within Cineverse’s extensive catalog, Ava will recommend films available elsewhere – and provide direct links to access films available across other streaming services – for a seamless movie discovery experience.
“Effective search and discovery is currently the most pressing problem for streaming service users today,” says Tony Huidor, Chief Technology Officer & Chief Operating Officer of Cineverse. “We first developed cineSearch as an answer to our problem. Using Google Cloud’s Vertex AI platform, we can now expand this feature well beyond our initial expectations. We feel this is a great example of leveraging the power of AI to not only create better user experiences, but also to help aid in the discovery of great films that fans may not have otherwise found.”
“Generative AI has the potential to fundamentally transform the media industry, fueling a new era of cloud-enabled capabilities that can significantly improve the consumer experience,” said Anil Jain, Global Managing Director of Strategic Consumer Industries at Google Cloud. “By leveraging Google Cloud’s leading gen AI capabilities, cineSearch can further personalize and streamline the user experience, providing viewers a vastly improved way to discover new content, with relevant recommendations for movies and television shows at their fingertips.”
Cineverse stands as the vanguard in the movie industry by applying AI technology in a first-to-market, enhanced search feature that enables users to search across multiple dimensions unavailable on any other platform. This unprecedented service also represents AI’s potential to propel the entertainment industry forward by bringing attention to content that fans may not otherwise discover.
