Streaming services have become a big part of how people choose what to watch. They use smart algorithms to suggest shows and movies based on what you've watched before. This might seem helpful, but it raises some important questions. How do these suggestions affect your taste in entertainment? Do th
Predicting whether someone will click on an ad is a big deal for online platforms. But current methods have some issues. They don't use enough outside information. And they can't quickly figure out what a person is interested in. A new approach called Large Interest Network (LIN) tries to fix these
Ever notice how your music, movie, or anime recommendations often seem to be the same popular stuff everyone else is into? This isn't just a coincidence. It's a problem called popularity bias. This happens when recommendation systems, those AI tools that suggest what you might like, favor the most p
AI is changing the game in how we pick movies. Think about it, how many times have you scrolled through endless options, unsure of what to watch? Recommender systems are here to help. They sift through tons of data to suggest movies tailored just for you. This is especially useful in e-commerce, soc
Personalized marketing is all the rage these days. It is the key to helping users find exactly what they are looking for, quickly and easily. But traditional recommendation systems have their limits. They struggle with complex user behaviors and sparse data. This makes it hard to understand the rela
Imagine a world where health advice is as personalized as a Netflix recommendation. Health recommender systems (HRS) are stepping into the game as an emerging field in digital health. These smarts systems assess information from multiple layers of influence that shape our habits and decisions about
Imagine if dating theories could help you find the perfect match online. Our project aims to do just that. By blending dating theories with recommender systems, we hope to make online dating more effective. We all know that dating isn't just about swiping right. It involves understanding compatibil
