relevanssirankingia
Relevanssirankingia is a term used in information retrieval to describe a hypothetical ranking framework designed to estimate the relevance of documents to a user query. It aims to combine multiple signals into a single composite score that orders results by predicted usefulness, rather than relying solely on lexical matches.
The word appears to be a blend of relevansi (relevance) with ranking and a Latin-style suffix, reflecting
Conceptually, relevanssirankingia assigns a score S to each candidate document. This score can be expressed as
Evaluation of relevanssirankingia approaches uses standard information retrieval metrics like NDCG, MAP, and precision@k. Applications span