Real-time Talent Matching

Instant, intelligent talent matching in milliseconds

Overview

SJM's real-time matching engine uses advanced AI algorithms to instantly connect the right freelancers with the right projects. Our system processes complex matching criteria in milliseconds, delivering high-quality matches with unprecedented speed.

Key Features

🧠

Hybrid Matching

Combines content-based and collaborative filtering for superior results

⏱️

Low Latency

Delivers results in under 200ms for seamless user experience

📈

Adaptive Learning

Continuously improves match quality from user interactions

How It Works

SJM's matching engine uses a multi-faceted approach to deliver optimal talent matches:

  1. Content-based Matching: Analyzes freelancer profiles, skills, and project requirements
  2. Collaborative Filtering: Considers historical project success and freelancer performance
  3. Experience Weighting: Factors in experience levels and rating history
  4. Skill Refinement: Precisely matches required skills with freelancer capabilities

Our system intelligently combines these approaches using a weighted algorithm that provides both accuracy and speed.

Technical Implementation

class MatchingEngine {
constructor(freelancers, projects, skillExtractor) {
  // Initialize models and data
  this.freelancers = freelancers;
  this.projects = projects;
  this.skillExtractor = skillExtractor;
  this.contentModel = new ContentBasedModel();
  this.collaborativeModel = new CollaborativeModel();
  this.weights = {
    'content': 0.4,
    'collaborative': 0.4,
    'experience': 0.1,
    'rating': 0.1
  };
}

// Train the models with available data
trainModels() {
  this.skillExtractor.loadKeywordsFromDatabase(this.freelancers);
  this.contentModel.train(this.freelancers);
  this.collaborativeModel.train(this.projects, this.freelancers);
}

// Match freelancers to a project
matchFreelancers(project, weights = null) {
  weights = weights || this.weights;
  this.trainModels();
  
  // Get scores from different models
  const contentScores = this.contentModel.predict(
    project.description, 
    project.requiredSkills
  );
  
  const collaborativeScores = this.collaborativeModel.predict(
    project.description, 
    project.requiredSkills
  );
  
  // Combine scores with weights
  const matches = this.freelancers.map((freelancer, i) => {
    const experienceScore = Math.min(freelancer.experience / 10, 1);
    const ratingScore = freelancer.rating / 5;
    
    const combinedScore = 
      weights.content * contentScores[i] +
      weights.collaborative * collaborativeScores[i] +
      weights.experience * experienceScore +
      weights.rating * ratingScore;
      
    return {
      freelancer: freelancer,
      combinedScore: combinedScore
    };
  });
  
  // Sort by score and return
  return matches.sort((a, b) => b.combinedScore - a.combinedScore);
}
}
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SDK Integration

Python

import sjm

client = sjm.SJM(api_key="your_api_key")

# Match freelancers to a project
matches = client.match(
  description="Build a modern web application with React and Node.js",
  required_skills=["React.js", "Node.js", "TypeScript"],
  budget_range=(5000, 10000),
  complexity="medium",
  timeline=30
)

# Display top matches
for match in matches["matches"][:3]:
  freelancer = match["freelancer"]
  print(f"Match: {freelancer['name']} ({freelancer['job_title']})")
  print(f"Score: {match['score']:.2f}")
  print(f"Matching Skills: {match['matching_skills']}")
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Node.js

import { SJM } from 'sjm';

// Initialize client with your API key
const client = new SJM({ apiKey: "your_api_key" });

// Match freelancers to a project
async function findMatches() {
try {
  const result = await client.match({
    description: "Build a modern web application with React and Node.js",
    required_skills: ["React.js", "Node.js", "TypeScript"],
    budget_range: [5000, 10000],
    complexity: "medium",
    timeline: 30
  });

  // Display top matches
  for (const match of result.matches.slice(0, 3)) {
    const freelancer = match.freelancer;
    console.log(`Match: ${freelancer.name} (${freelancer.job_title})`);
    console.log(`Score: ${match.score.toFixed(2)}`);
    console.log(`Matching Skills: ${match.matching_skills}`);
  }
} catch (error) {
  console.error(`Error: ${error.message}`);
}
}
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REST API

curl -X POST https://api.snapjobsai.com/v1/match \
-H "Content-Type: application/json" \
-H "X-API-Key: your_api_key" \
-d '{
  "description": "Build a modern web application with React and Node.js",
  "required_skills": ["React.js", "Node.js", "TypeScript"],
  "budget_range": [5000, 10000],
  "complexity": "medium",
  "timeline": 30
}'
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Performance Metrics

| Metric | Performance | |--------|-------------| | Average response time | < 200ms | | Match accuracy | 96% | | Skill match precision | 98% | | Scalability | Up to 10,000 concurrent users |

Next Steps

Learn more about other key features of the SJM platform:

Or check out our API Reference for detailed endpoint documentation.