preranked
Preranked is a term that can refer to several related concepts, primarily in the context of search engines, recommender systems, and information retrieval. At its core, preranking involves ordering or assigning a preliminary score to a set of items before a final decision or more intensive processing is applied. This initial ordering aims to quickly filter out less relevant items or prioritize those that are most likely to be of interest, thereby improving efficiency and effectiveness.
In search engines, preranking might involve using a lightweight model to quickly assess a large number of
Similarly, in recommender systems, preranking can be used to generate an initial set of candidate items to
The advantage of preranking lies in its ability to manage computational resources effectively. By quickly eliminating