LND topic: recommender-systems page 1

recommender systems

KGRec: A New Way to Find Things You’ll Like

March 12, 2026

In today’s world, people want online services that not only show them what they might enjoy but also keep the choices fresh and varied. Traditional recommendation methods mainly look at who liked what, missing out on useful extra details about the items or users. This can hurt performance when there

technology

Smart Ads: How Context Can Boost Online Shopping

December 30, 2025

Ads online are often random. They don't match what you like or need. This makes people ignore them. It's bad for businesses and annoying for users. But what if ads were smarter? What if they knew what you wanted? A new system tries to fix this. It uses your recent activity to show better ads. For e

technology

What's Your Streaming Service Really Recommending?

November 27, 2025

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

technology

Boosting Ad Clicks: A Smarter Way to Predict What You'll Click

November 16, 2025

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

technology

Why Do We Keep Seeing the Same Old Stuff?

November 13, 2025

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

technology

Smarter Movie Picks: How AI is Changing How We Choose Films

July 9, 2025

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

technology

Personalized Marketing: The Power of Graph-Based Recommendations

April 30, 2025

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

health

Bridging the Gap: How Health Tech Can Fight Inequality

January 31, 2025

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

technology

Love Match: Using Dating Theory in Online Recommendations

January 29, 2025

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