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Overview

TechCal doesn’t just list events—it scores every event based on YOUR unique career profile. This means you see the most relevant opportunities first, saving hours of manual filtering. Every event gets a Career Impact Score (0-100) that answers: “How much will this event help MY career goals?”

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How Career Impact Scores Work

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The Scoring System

Each event is evaluated across 5 components, then combined into an overall score:

Skill Relevance

0-100 score based on:
  • Match with your current skills
  • Overlap with skills you want to learn
  • Skill proficiency gaps

Career Stage Match

0-100 score based on:
  • Event difficulty vs. your seniority
  • Appropriate content level
  • Role alignment

Networking Value

0-100 score based on:
  • Attendee profiles (if available)
  • Hiring managers present
  • Peer networking opportunities

Industry Relevance

0-100 score based on:
  • Target industry match
  • Company types represented
  • Domain expertise

Timing Bonus

0-10 bonus for:
  • Urgency (event soon)
  • Registration deadline approaching

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Overall Score Calculation

The final Career Impact Score is a weighted average: 
Overall Score = (
  Skill Relevance × 40% +
  Career Stage Match × 25% +
  Networking Value × 20% +
  Industry Relevance × 15%
) + Timing Bonus
Weights are calibrated based on user feedback and attendance patterns. Skill relevance has the highest weight because it’s the strongest predictor of event value.

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Skill Relevance Scoring

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How It Works

TechCal compares event skills (from titles, descriptions, and tags) with your profile:
1

Extract Event Skills

TechCal identifies technologies, frameworks, and topics mentioned in:
  • Event title
  • Description
  • Speaker bios
  • Agenda items
  • Tags
Example: “React Advanced Patterns Workshop” extracts: React, JavaScript, Frontend, Web Development
2

Match Against Your Profile

Each extracted skill is compared to:
  • Primary Skills: Things you already know
  • Skills to Learn: Things you want to learn
Match types:
  • Exact match: React ↔ React (100% match)
  • Related match: React ↔ Frontend Development (70% match)
  • No match: React ↔ Data Science (0% match)
3

Calculate Skill Score

Formula:
Skill Score = (
  (Primary Skills Matches × 0.4) +
  (Learning Skills Matches × 0.6)
) / Total Event Skills
Why learning skills are weighted higher: Events that teach you NEW skills are more valuable than reinforcing existing ones.

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Examples

Your Profile:
  • Primary Skills: Python, Django
  • Skills to Learn: FastAPI, Microservices
Event: “FastAPI Microservices Workshop”Match:
  • ✅ FastAPI (Learning) - 100% match
  • ✅ Microservices (Learning) - 100% match
  • ✅ Python (Primary) - 100% match
Skill Score: 98
To improve skill matching, add at least 5-8 skills to both “Primary Skills” and “Skills to Learn” in your profile.

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Career Stage Matching

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Difficulty Levels

Events are tagged with difficulty:
  • Beginner: Intro workshops, 101 sessions, bootcamps
  • Intermediate: Standard professional content, assumes base knowledge
  • Advanced: Expert talks, deep technical dives, architecture discussions

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Seniority Mapping

Your profile seniority maps to appropriate difficulty:
Your SeniorityBest MatchAcceptablePoor Match
JuniorBeginner, IntermediateAdvanced (stretch)None
Mid-levelIntermediateBeginner, AdvancedNone
SeniorAdvanced, IntermediateBeginner (mentoring)None
Lead/PrincipalAdvancedIntermediateBeginner

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Scoring Formula

if difficulty == best_match:
  stage_score = 100
elif difficulty == acceptable:
  stage_score = 70
else:
  stage_score = 30
Attending events below your level can still be valuable for mentoring or networking, but TechCal scores them lower because they’re less challenging.

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Networking Value Scoring

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Factors Considered

  • Large (500+ attendees): High networking potential, but harder to make deep connections (score: 60-70)
  • Medium (50-500 attendees): Balanced networking (score: 80-90)
  • Small (<50 attendees): Intimate, easier to connect (score: 85-95)
  • In-person: Best for networking (score: 100)
  • Hybrid: Good, with virtual options (score: 75)
  • Virtual: Limited but still valuable (score: 50)
Events with explicit networking time:
  • Networking mixers: +20 points
  • Q&A sessions: +10 points
  • Workshops with group work: +15 points
Events flagged as hiring-focused:
  • Career fairs: +30 points
  • Sponsor booths (recruiting): +15 points
If people you follow are attending:
  • 1-2 people: +10 points
  • 3-5 people: +20 points
  • 6+ people: +30 points
If “Build your network” is one of your career goals, networking value is weighted higher in your overall score.

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Industry Relevance Scoring

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Industry Matching

Events are tagged with primary industries:
  • SaaS
  • FinTech
  • HealthTech
  • E-commerce
  • Gaming
  • Enterprise Software
  • Open Source
  • Education
  • DevTools
Your profile industry (set during onboarding) determines scoring:
  • Exact match: 100 points (e.g., you work in FinTech, event is FinTech conference)
  • Adjacent industries: 70 points (e.g., you work in SaaS, event is Enterprise Software)
  • General tech: 50 points (e.g., event is broadly applicable like “JavaScript Conference”)
  • Unrelated: 20 points (e.g., you work in SaaS, event is Healthcare specific)
If you haven’t set an industry preference, TechCal defaults to “General Tech” and scores all industries at 50 (neutral).

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Behavioral Boost (Advanced)

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What Is Behavioral Boost?

Beyond profile matching, TechCal learns from your event behavior:
  • Events you track (but don’t attend)
  • Events you attend
  • Events you spend time viewing
  • Patterns in your event choices
This data is used to boost or penalize scores for future recommendations.
Behavioral boost is opt-in and disabled by default for privacy. Enable it in Settings → Privacy → Personalization.

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How Behavioral Boost Works

1

Track Your Event Interactions

TechCal logs (anonymized):
  • Events you clicked
  • Events you tracked
  • Events you attended
  • Time spent viewing event details
2

Identify Patterns

Machine learning models detect:
  • Preferred categories: “You attend 80% workshops vs. 20% conferences”
  • Format preferences: “You favor virtual over in-person”
  • Hidden interests: “You click on AI events even though it’s not in your profile”
3

Adjust Scores

For future events:
  • +10 to +20 points: Events similar to ones you attended and rated highly
  • -5 to -10 points: Events similar to ones you tracked but didn’t attend
  • +5 points: Categories you engage with frequently

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Privacy & Control

  • Behavioral data is private: Never shared with other users or event organizers
  • Opt-out anytime: Disable in settings to revert to profile-only scoring
  • Data deletion: Request full deletion via Settings → Privacy → Delete Behavioral Data
Behavioral boost is most accurate after you’ve attended 5-10 events. Early on, profile-based scoring is more reliable.

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Diversity Algorithm

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Preventing Filter Bubbles

To avoid showing you the SAME types of events repeatedly, TechCal injects diversity:
1

Score All Events Normally

Every event gets a Career Impact Score as described above.
2

Identify Top 100

Select the top 100 events by score.
3

Apply Diversity Penalty

For events too similar to ones you recently attended:
  • Same category + same month: -15 points
  • Same organizer + same quarter: -10 points
  • Same skill focus + same month: -5 points
4

Re-Rank with Diversity

Re-sort the top 100 after penalties. This ensures variety in your recommendations.
Example: You attended 3 React conferences in March. In April, React events get a small penalty, so you’ll see more events about other frameworks (Vue, Angular, Svelte) ranked higher—even if React events technically score higher.
Diversity doesn’t REMOVE events—it just re-ranks to surface variety. You can still find React events by filtering or searching.

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Cold Start Problem

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What Happens Without a Profile?

If you skip onboarding or have an incomplete profile, TechCal uses cold start scoring:
  • Skill Relevance: Set to neutral (50)
  • Career Stage: Defaults to Intermediate
  • Networking: Full score (no profile needed)
  • Industry: Neutral (50)
Events are then sorted by popularity (most-attended first) instead of career impact.
Cold start recommendations are generic. Complete your profile to unlock personalized scoring.

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Improving Recommendations

To get the best recommendations:
1

Complete Career Onboarding

Go to Settings → Career Profile and fill out:
  • Current role and seniority
  • 5-8 primary skills
  • 5-8 skills to learn
  • Career goals
  • Industry preference
2

Set Budget Preferences

Under Event Preferences, select your budget tier. This filters out events you can’t afford.
3

Attend Events

After attending 3-5 events, TechCal learns your preferences and can apply behavioral boosts.
4

Provide Feedback

After attending events, rate them (1-5 stars). This helps refine future recommendations.

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Scoring Transparency

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Viewing Score Breakdowns

For any event, click the Career Impact tab to see:
  • Overall score (0-100)
  • Component scores (Skill, Stage, Networking, Industry)
  • Matched skills with your profile
  • Matched goals
  • Confidence level (high/medium/low)
Example:
Overall Career Impact: 88 (High) Breakdown:
  • Skill Relevance: 92 (Matches 4 of your learning skills)
  • Career Stage: 85 (Intermediate - good fit for Mid-level)
  • Networking Value: 80 (200 attendees, in-person)
  • Industry Relevance: 90 (FinTech - matches your profile)
Matched Skills: ✅ GraphQL (Skill to Learn) ✅ TypeScript (Skill to Learn) ✅ Node.js (Primary Skill) Confidence: High - Your profile is complete
Use score breakdowns to understand WHY an event is recommended. If a component seems off, update your profile accordingly.

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Algorithm Versions

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Version History

TechCal’s recommendation algorithm evolves over time:
  • v1.0 (Launch): Profile-based scoring only
  • v1.5 (Current): Added behavioral boost and diversity enhancement
The algorithm continues to improve based on user feedback and behavioral data.

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Tips for Better Recommendations

Instead of “Web Development”, list specific frameworks: React, Vue, Angular, Next.js. Specificity improves matching.
As you learn new skills or your goals change, update your profile. We recommend reviewing it monthly.
After attending, mark events as attended and rate them. This trains the behavioral model.
See an irrelevant recommendation? Click “Not Interested” so TechCal learns your preferences.
If you set “Free Only” but then attend paid events, TechCal gets confused. Be honest about your budget.

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FAQs

Possible reasons:
  • It’s trending (high popularity overrides low personal score)
  • Diversity algorithm boosted it for variety
  • Your network is attending (social boost)
You can always sort by “Career Impact” to see purely score-ranked results.
Yes. Go to Settings → Privacy → Personalization and toggle off “Enable Behavioral Boost”. Scores will revert to profile-only matching.
Scores update:
  • Real-time: When you update your profile
  • Daily: When event details change
  • Weekly: When behavioral models retrain
Yes, indirectly. If an event is far from your location (set in profile), the Networking Value score may decrease slightly because in-person attendance is less likely.

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Next Steps

Complete Your Profile

Improve your recommendations by filling out your career profile

Discover Events

Browse personalized event recommendations now

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