Abstract: With the increasing problem of information overload, personalized book recommendation system has become the key technology ... and the recommendation results are optimized by cosine ...

It uses Cosine Similarity to find similarities between movies and recommend the most similar ones. The system allows users to input a movie title, and it will recommend 5 movies with similar content.

This is content based recommendation system Takes an input of a movie and gives recommendations of 5 similar movies The recoomendation is based on cosine similarity. The movies similarity is compared ...

We discuss the anatomy of a specific recommender system designed ... with the user for whom recommendations are being made. Thus we are looking for product similarity which we measure by applying the ...

Personalisation is key to engaging audiences, and AI is making that easier than ever. During the recent INMA Generative AI ...

There’s no AI and no recommendation algorithms — you decide ... the most important information of a dataset by finding similarity between each data point based on their associated descriptors.

Abstract: Trajectory similarity computation is essential for various downstream applications, such as anomaly route detection, order matching, and digital contact tracing. However, its effectiveness ...