ratealso

Ratealso is a term used in digital rating systems to describe a feature in which a user’s action to rate one item is paired with prompts or options to rate related items. The goal is to collect broader feedback across a cluster of items and to improve the quality of recommendations or search results by expanding the input beyond a single item.

In practice, ratealso combines the primary rating with a subsequent or simultaneous presentation of related items, such as other episodes in a series, products in the same category, or similar tracks. Users can rate the suggested items in the same session, typically with streamlined controls to minimize friction.

Applications appear in streaming services, e-commerce platforms, and social catalogs that rely on collaborative filtering or content-based recommender systems. Ratealso data can enrich user profiles, reduce cold-start problems, and help calibrate item similarity metrics.

Design considerations include avoiding user fatigue, controlling prompt frequency, and ensuring relevance to the user’s current context. Privacy and consent concerns may arise when collecting ratings for multiple items in a single session. Some implementations make ratealso optional or allow users to set limits on prompts.

The term ratealso does not have a formal standard and is used variably across platforms. It is most often discussed as a user experience pattern for feedback collection and recommender-system optimization. See also: rating, recommender systems, multi-item rating.