Stop letting old downloads and random searches clutter your recommendations. Take control of your data to see the apps you actually want.

If you’re exploring TikTok alternatives, UpScrolled is a new contender worth noting. Check here for a closer look at what it offers.

Machine learning careers offer strong salary growth across Indian industriesReal projects and deployment skills matter more ...

YouTube has become one of the most influential digital platforms of the modern era, shaping how information is produced, ...

Google published a research paper about helping recommender systems understand what users mean when they interact with them. Their goal with this new approach is to overcome the limitations inherent ...

Abstract: Multi-behavior recommender system aims to model user preference representation based on multiple types of user-item interactions (e.g., viewing, adding to favorites, adding to the cart, and ...

ClickFix attacks have evolved to feature videos that guide victims through the self-infection process, a timer to pressure targets into taking risky actions, and automatic detection of the operating ...

There once was a time where going viral on the internet actually meant something. Long ago, in the early 2010s, 500,000 views could actually land you on daytime TV, where you could experience the ...

Yandex has introduced ARGUS (AutoRegressive Generative User Sequential modeling), a large-scale transformer-based framework for recommender systems that scales up to one billion parameters. This ...

Abstract: Recommender systems are widely regarded as effective tools for facilitating the discovery of relevant content. In the food domain, they help users find recipes, choose grocery products, and ...

Crossing Minds, a startup that provides AI recommendation systems to e-commerce businesses, said on Thursday that its team is joining OpenAI. The startup was backed by Index Ventures, Shopify, Plug ...

The IMDB Movie Recommendation System is a content-based filtering model that suggests movies similar to a user’s favorite film based on textual features such as genre, cast, director, and keywords.