[ S = \sum_i=1^N w_i \cdot c_i ,\quad \sum w_i = 1 ]
A. Researcher¹, B. Analyst², C. Data‑Scientist³ Searching for- jessica bangkok in-All Categorie...
Ground‑truth “Jessica” entities (n = 274) are planted with varying visibility across categories (e.g., 38 % appear only in images). 5.1 Evaluation Metrics | Metric | Definition | |--------|------------| | Recall@k | Fraction of true Jessicas appearing in top‑k results. | | Precision@k | Fraction of top‑k results that are true Jessicas. | | Mean Query Latency | Wall‑clock time per query (average over 10 000 runs). | | Privacy‑Risk Score | Expected number of leaked attributes per query (lower is better). | 5.2 Baselines | Baseline | Description | |----------|-------------| | B1 – Structured‑Only | Queries only official registers. | | B2 – Text‑Only | Full‑text search on social media. | | B3 – Image‑Only | Face‑matching on CCTV feeds. | | B4 – Simple Union | Union of all category results without weighting. | 5.3 Results | System | Recall@10 | Precision@10 | Latency (s) | Privacy‑Risk | |--------|-----------|--------------|------------|--------------| | B1 | 0.31 | 0.94 | 0.42 | 0.02 | | B2 | 0.44 | 0.68 | 0.78 | 0.04 | | B3 | 0.38 | 0.71 | 1.96 | 0.06 | | B4 | 0.61 | 0.73 | 2.31 | 0.12 | | CSRF (proposed) | 0.71 | 0.85 | 2.24 | 0.09 | [ S = \sum_i=1^N w_i \cdot c_i ,\quad \sum w_i = 1 ] A