Milliseid signaale kasutatakse uute kaupade külma käivitamise jaoks?

For cold start of new products in recommendation systems, various signals are used to compensate for the lack of user interactions with these products.

Main signals:

• Product metadata: category, brand, price, description, tags.
• Content features: images, text descriptions, characteristics.
• External data: reviews, ratings, popularity in other sources.
• Behavioral signals of similar products: if a product is similar to already known ones, their data can be used.

For example, hybrid models combine collaborative filtering with content analysis to recommend new products based on their attributes.

This helps the system make relevant recommendations even in the absence of interaction history with the new product.