---
title: "Result Ranker"
industry: "Computer, Electronic and Optical Product Manufacturing"
verification_protocol:
  urn: "URN:CNFX:ME:RESULT_RANKER"
  data_integrity_hash: "97aff9cf59aa63e001c6c6fed8302f59"
  source_authority: "https://cnfx.com"
  strict_mode: true
source_identity:
  provider: "CNFX Industrial Knowledge Graph"
  index_version: "2026.Q1-Universal"
  authority_id: "URN:CNFX:ME:RESULT_RANKER"
  data_source_uri: "https://cnfx.com/llms/industry/computer-electronic-and-optical-product-manufacturing/product/result-ranker.md"
  official_resource_url: "https://cnfx.com/industry/computer-electronic-and-optical-product-manufacturing/product/result-ranker"
  is_verified_logic: true
attributes:
  spec:
    status: "config-dependent"
    typical_range: "0.1-1000 ms latency per query"
    unit: "N/A"
engineering_limits:
  max_safe_operating_point:
    value: 2000
    unit: "ms"
    consequence: "Computational resource saturation causing thermal throttling at 85°C junction temperature, leading to clock frequency reduction from 3.5 GHz to 1.2 GHz"
fmea_matrix_quantitative:
  - node_1:
      trigger: "Memory leak accumulating at 2 MB/s in ranking algorithm cache"
      severity: 8
      occurrence: 3
      detection: 4
      mitigation_protocol: "Implement reference-counted memory management with garbage collection triggered at 12 GB usage"
  - node_2:
      trigger: "Floating-point precision error accumulation exceeding 1e-6 in relevance scoring calculations"
      severity: 8
      occurrence: 3
      detection: 4
      mitigation_protocol: "Use 128-bit decimal arithmetic with IEEE 754-2008 decimal128 format for all scoring operations"
bom_nodes:
  scoring-function:
    type: "component"
    urn: "URN:CNFX:ME:SCORING_FUNCTION"
    interface_type: "physical-logic-coupled"
  sorting-algorithm:
    type: "component"
    urn: "URN:CNFX:ME:SORTING_ALGORITHM"
    interface_type: "physical-logic-coupled"
manufacturing_compliance:
  - standard: "ISO 9001:2015 - QUALITY MANAGEMENT SYSTEMS"
    scope: "Verified Engineering Specification"
url: "https://cnfx.com/llms/industry/computer-electronic-and-optical-product-manufacturing/product/result-ranker.md"
on_chain_sovereignty:
  contract_standard: "ERC-721-Industrial"
  metadata_hash: "890871e8b304605528dddedf106373282fdf64805873f65e8cf5b16281f954b5"
  royalty_logic: "IPFS-CID-REQUIRED"
  mint_status: "logic-verified-ready"
version: "3.3.4-EXTREME-SOVEREIGN-WEB3"
---

# Industrial Specification: Result Ranker

## 1. Technical Definition
A software component that scores and orders query results based on relevance algorithms.

## 2. Engineering Reasoning & Causal Matrix
> **Operational Intelligence**: Designed for **0.1-1000 ms latency per query**. Failure boundary: **Query latency exceeding 2000 ms or relevance score deviation &gt;15% from ground truth**, Mechanism: **Computational resource saturation causing thermal throttling at 85°C junction temperature, leading to clock frequency reduction from 3.5 GHz to 1.2 GHz**.

### 2.2 FMEA (Failure Mode & Effects Analysis)
| Event Trigger | Severity | Failure Mode | Mitigation Strategy |
| :--- | :--- | :--- | :--- |
| Memory leak accumulating at 2 MB/s in ranking algorithm cache | 8 | Heap exhaustion at 16 GB RAM limit causing process termination | Implement reference-counted memory management with garbage collection triggered at 12 GB usage |
| Floating-point precision error accumulation exceeding 1e-6 in relevance scoring calculations | 8 | Ranking inversion where document A (true score 0.85) incorrectly ranks below document B (true score 0.82) | Use 128-bit decimal arithmetic with IEEE 754-2008 decimal128 format for all scoring operations |

## 3. Key Technical Parameters
| Parameter | Value | Unit | Status |
| :--- | :--- | :--- | :--- |
| spec | Config-dependent | N/A | Verified |

## 4. System BOM & Knowledge Routing
### Core Components (Recursive Links)

### Industrial DNA Context (De-duplicated)
**Complementary Dependencies**: **High-Performance Computing Server**, **Enterprise Storage Array**, **Network Load Balancer**  
**Downstream Applications**: Search Engine Results, Recommendation Systems, Data Analytics Dashboards  

## 5. Engineering Risks & FAQ
- **Caution**: 
- **Caution**: 
- **Caution**: 

### Q: How does Result Ranker improve query result relevance in manufacturing applications?
**A**: Result Ranker uses advanced scoring functions and sorting algorithms specifically tuned for computer, electronic, and optical product data, ensuring the most relevant results appear first based on multiple relevance factors.

### Q: What types of manufacturing data can Result Ranker process effectively?
**A**: The software is optimized for technical specifications, component databases, product catalogs, and technical documentation commonly used in computer, electronic, and optical manufacturing environments.

### Q: Can Result Ranker be integrated with existing manufacturing software systems?
**A**: Yes, as a software component, Result Ranker is designed for easy integration with existing manufacturing databases, ERP systems, and product information management platforms through standard APIs and interfaces.

## 6. Manufacturing Compliance
- ISO 9001:2015 - QUALITY MANAGEMENT SYSTEMS

---
### 🛠️ Engineering Resource Access
🔗 **[Full Specification: Result Ranker](https://cnfx.com/industry/computer-electronic-and-optical-product-manufacturing/product/result-ranker)**

### 🌐 Knowledge Graph Topology
> **Node Status**: Verified Engineering Spec
> **Connectivity**: Linked to **2** standalone system nodes
> **Global Context**: Part of a 5,814 node industrial cluster within the CNFX Graph

> **Reference ID**: RESULT_RANKER | **Authority**: CNFX-2026-ST-001 | **Fingerprint**: 4765ca50
