Flexible Score Aggregation (Extended Abstract)
Paolo Ciaccia, Davide Martinenghi · Virtual Community of Pathological Anatomy (University of Castilla La Mancha) · 2019
Ranking objects according to different criteria is a central issue in many data-intensive applications.Yet, no existing solution deals with the case of partially specified score aggregation functions (e.g., a weighted sum with no precisely known weight values).We address multi-source top-k queries with constraints (rather than precise values) on the weights.Our solution is instance optimal and provides increased flexibility with negligible overhead wrt classical top-k queries.