Google's Gemini Embedding 2 arrives with native multimodal support to cut costs and speed up your enterprise data stack

While previous embedding models were largely restricted to text, this new model natively integrates text, images, video, audio, and documents into a single numerical space — reducing latency by as muc ...
Searchenginejournal.com

Google’s Recommender System Breakthrough Detects Semantic Intent

Google published a research paper about helping recommender systems understand what users mean when they interact with them. Their goal with this new approach is to overcome the limitations inherent ...
CNBC

Meta greenlights Facebook, Instagram ads based on your AI chats

Meta will soon show ads and other content to users based on their interactions with the company's digital assistant and other products powered by artificial intelligence. The company said its AI ...
Scientific Research Publishing

Zhang, S., Yao, L., Sun, A., & Tay, Y. (2019). Deep Learning Based Recommender System. ACM Computing Surveys, 52, 1-38.

ABSTRACT: Continuous professional development (CPD) is vital for special education teachers, although their perspectives on CPD diplomas in Saudi Arabia remain understudied. This study examined how in ...
GitHub

Merge pull request #3 from dowelani/MUSAK

This project implements an **Anime Content Recommender System** that suggests anime titles based on content similarity. By leveraging natural language processing (NLP) techniques and machine learning, ...
IEEE

A Comprehensive Content-Based Recommendation System for Programming Problems Through Multi-Faceted Code Analysis

Abstract: Recommending exercises in educational contexts requires balancing relevance and diversity to support effective learning progression. In such settings, content-based recommendation is ...
GitHub

Content based recommender systems.ipynb

"0 Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 \n", "1 Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 \n", "2 Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 ...