relevanteja
Relevanteja is a term used in information science to denote the multi-dimensional relevance profile assigned to information objects such as documents, records, or media items. Instead of a single relevance score, relevanteja describe how well an item matches a user’s needs across different contexts, domains, and time frames. The concept is especially relevant to search, recommendation, and filtering systems where user goals vary over time and across tasks.
Typical dimensions include topical relevance (alignment with the subject matter), recency or timeliness, user intent alignment,
Calculation methods range from rule-based scoring to machine-learning approaches such as learning-to-rank and probabilistic models. Systems
Applications span search engines, content recommendation, enterprise knowledge bases, and digital libraries. The relevanteja framework helps
Limitations include context dependency, data requirements, and potential bias in dimension definitions. Related concepts include relevance,