People often struggle with getting good movie recommendations. The usual way to suggest movies is by using math to find patterns. But this method has a big problem: it can't handle complex requests. For example, it can't easily find a movie that is both a comedy and an action film but not a romance.
Tourism is big business. It's not just about fun; it's a major part of the economy. But planning a trip can be tough. There are so many places to see and things to do. That's where computers come in. A new way to plan trips uses smart computer programs. These programs learn from lots of data. They
When recommending places to visit, systems often suggest popular spots or large venues like shopping malls. This can lead to unfair recommendations, as smaller, less-known places get overlooked. There are two main issues at play here. First, there is a tendency to suggest big, collective points of i
Ever wondered why some people who collect non-fungible tokens (NFTs) seem to bounce from one art collection to another? Well, it turns out they might be drawn to visual similarities between these collections. NFTs are like special tokens on blockchain networks that prove ownership of digital images.
