Relevantsi
Relevantsi is a proposed metric used to quantify how relevant a piece of content is to a defined topic, user intent, or context. The concept is used in information retrieval, recommendation systems, and analytics to prioritize items that better match needs or queries.
Definition and scope: Relevantsi integrates semantic similarity, topical coverage, recency, authority, and personalization signals. Values are
Calculation: In practice, relevantsi may be computed as a weighted sum: Relevantsi = w1*semantic + w2*topic + w3*recency + w4*authority
Applications: sequential ranking in search results, feed ranking, document filtering, and anomaly detection for content that
Limitations and standardization: There is no universal standard definition or measurement; implementations vary across teams. Challenges
See also: relevance, information retrieval, cosine similarity, vector space model.