USER INTERFASE MATCH- MAKER_Page_1

MatchMaker

(Handwritten note – dated “X-Mas 25-12-2017”)

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Page 1

Dear Jobseeker,

When you conclude (subscribe, sign, job portal), you are requested that hundreds of jobs / employers select / shortlist / match your resume from database.

Think of these jobs as if you were on stage and all interviewers are calling for your resume. That’s the job portals want to sell!

Important expectation is, you get selected each of those 25 job ads.

However, if you study the present situation, you will find:

None of the job ads that you receive are relevant or suitable to you.
The search results is full of junk that you would not have spared a second to read / ignore!

But MatchMaker is here for you in 40 seconds!

The AI-enabled MatchMaker will “read, rate, rank” all those 25 job-ads and then arrange them in a neat table, based on relevance & suitability.

It will also highlight keyword relevance (match / mismatch).

To assist you better, MatchMaker will compare each job ad with your resume.

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Page 2

If your resume is your alter-ego / your other self, the company ad / job ad is the recruiter’s alter-ego.

Each job-advert has certain skill / competency keywords describing the desired skills / knowledge.

MatchMaker simply matches the presented job-ad skill keywords with your resume skill keywords.

It identifies the missing skills, extra skills, and overlapping skills.

If resume keywords are comparable, results will come close.

In MatchMaker, all keywords could have one or more weights.

And there will be difference between primary keywords, secondary keywords, and so on.

Basic rule adopted here is Pareto Principle.

Thus, we divide resume skill-keywords into three zones:
High, Medium, Low.

The AI then matches the job description with these zones.

You will be able to quickly understand why a job ad is ranked #1, #2, or #25.

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Key Concepts Captured

• Resume = candidate’s alter-ego
• Job Ad = recruiter’s alter-ego
• AI reads, rates, ranks job ads
• Keyword overlap, gaps, and weightage
• Pareto Principle (80/20)
• High / Medium / Low relevance zones
• Outcome: fast, explainable job ranking

 

MatchMaker – Back-End Logic (Concept Notes)

Block	Description	Input	Process	Output
Step 01	Resume Keyword Extraction	Resume	Extract Skill Keywords	Resume Keywords
Step 02	Job Ad Keyword Extraction	Job Advertisement	Extract Required Skills	Job Keywords
Step 03	Skill Matching Analysis	Resume + Job Keywords	Match / Compare	Match %
Step 04	Weight Assignment	Keywords	Assign weights (Primary / Secondary / Others)	Weighted Keywords
Step 05	Relevance Scoring	Weighted Keywords	Score calculation	Relevance Score
Step 06	Ranking Engine	All Job Ads	Sort by relevance	Ranked Job List

 

 

Keyword Classification

• Primary Skills – Core, must-have
• Secondary Skills – Supportive / good-to-have
• Additional Skills – Optional / bonus

Each keyword is assigned a weight factor.

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Pareto Rule Applied

• Top 20% keywords contribute to 80% relevance
• Remaining keywords contribute marginal relevance

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Zones

• High Relevance Zone
• Medium Relevance Zone
• Low Relevance Zone

 

Step 3 – Relevance & Ranking Table (Illustrative)

Job Position	Industry	Skill Match %	Resume Match Score	Rank
Analyst	Banking	80%	90	1
Engineer	IT	75%	85	2
Manager	Manufacturing	70%	80	3
HR Executive	Services	65%	70	4
Marketing Exec	FMCG	60%	65	5

Logic for Computing Match Index

1. Compare resume keywords vs job keywords
2. Identify:
• Matched keywords
• Missing keywords
• Extra keywords
3. Apply weight to each keyword group
4. Calculate weighted relevance score
5. Normalize score to 100
6. Rank jobs accordingly

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Explainability Layer

• Show why a job is ranked higher
• Highlight:
• Strong matches
• Missing critical skills
• Over-qualification / under-qualification

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Output

• Ranked job list
• Match explanation per job
• Visual indicators (High / Medium / Low)

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What This Captures (Very Important)

✔ Explainable AI (before it became fashionable)
✔ Resume ↔ Job Ad semantic comparison
✔ Weighted keyword relevance
✔ Pareto-based optimization
✔ Transparency for jobseekers