Learn how recommendation algorithms, streaming recommendations, and social media algorithms use content recommendation systems to deliver personalized recommendations. Pixabay, TungArt7 From movie ...

AI hallucinations about a brand come in many types: A generative AI system might show a person who isn’t the actual founder, display the wrong address for the headquarters, or describe an old product ...

About 10 years ago, I had a student who came to me and wanted to apply early decision to a highly selective college. By looking at her midterm grades, I knew that getting accepted would be a challenge ...

First, thank you for maintaining the mem0 project—it's very helpful! I have a question regarding the Neo4j implementation in mem0: I noticed that the vector similarity is calculated manually using a ...

Abstract: This paper outlines a movie recommendation system that has been proposed and implemented using Python and Streamlit and which relies on content-based filters solely to recommend films that ...

I am trying to finetune mini-lm-l6-v2 model using trainer and using cosine similarity loss. I have a dataset of 30M annotated pairs containing both positive and ...

Scientific Games has launched a new lottery product recommendation engine to enhance the player experience. GameChoice combines artificial intelligence with the company’s SG Analytics solution to ...