suositusteknologia
Suositusteknologia, or recommendation technology, refers to systems that automatically propose products, services, or content to users based on various data inputs. The core principle is to enhance user experience by filtering large amounts of information and presenting items that match the user’s preferences, behavior, or contextual needs. These systems are widely employed in e‑commerce, streaming services, social media feeds, news aggregation, and personalized advertising.
The underlying algorithms can be grouped into collaborative filtering, content-based filtering, hybrid methods, and knowledge‑based systems.
Recent advances in recommender systems have incorporated deep learning, reinforcement learning, and graph neural networks, which
Ethical and regulatory concerns accompany the proliferation of recommendation technology. Bias in training data can lead