If your calendar is packed with standups, releases, and stakeholder calls, structured learning can feel out of reach. Yet AI ...

A new framework restructures enterprise workflows into LLM-friendly knowledge representations to improve customer support automation. By ...

Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.

“Work smarter, not harder” isn’t just a catchy phrase – it’s a survival tactic for content marketers. Keeping up with a full content calendar can feel relentless, and constantly creating new material ...

It looks like Meta's Vibes feed is just the start of the company's pivot toward AI slop. In an earnings call, CEO Mark Zuckerberg said that "we're going to add yet another huge corpus of content" to ...

Abstract: Recommending exercises in educational contexts requires balancing relevance and diversity to support effective learning progression. In such settings, content-based recommendation is ...

This project is an AI-powered movie recommendation system built using Python and Streamlit. It leverages the TMDB API for movie data and integrates the Google Gemini API to act as an intelligent agent ...