|
Sr No |
Feature |
Who |
Target Date |
|
1 |
Antecedent Check |
||
|
2 |
A Crazy Thought |
||
|
3 |
Matrix Scenario |
||
|
4 |
Tezgasu Puzzle |
||
|
5 |
Benchmark Resumes Against a given JobAdvt |
||
|
6 |
Resume Search Benchmarks |
||
|
7 |
Recommendation System for HR Mgrs |
||
|
8 |
Vacancy Planet (demo) |
||
|
9 |
Job Posting Archive (EDIT method) (demo) |
||
|
10 |
Essay on the Eye |
||
|
11 |
Apple Cart |
||
|
12 |
Employee Reputation Profile – ERP |
||
|
13 |
Compose a Job Description (Collective Brain) |
||
|
14 |
Fresh Graduates |
||
|
15 |
Resume Compare / Stand Talker |
||
|
16 |
Share Your Birthday |
||
|
17 |
Resume Generator Adding “Straight Line” |
||
|
18 |
Mandatory Index Profile |
||
|
19 |
Recommendation System for Jobseekers |
||
|
20 |
Benchmark Several JobAdvt against one Resume |
||
|
21 |
Reverse your Account |
||
|
22 |
RSS Feed (under development) |
||
|
23 |
Don’t Waste Your Time (√ done) |
||
|
24 |
Admin Tool – Future |
||
|
25 |
GumQuest / IIT – |
||
|
26 |
Geek Challenge |
Aparna / Mitchelle / Thakur / Amit
17 Nov 2005
Gum Archive
This tool was demonstrated to Aparna / Mitchelle team on
last Monday. Tomorrow, it will be demonstrated to Thakur / Amit team.
As explained, this tool enables you to search the most
relevant/suitable resumes out of the 5.5 lakh resumes on our local server.
What the tool does is to shortlist/present to you the Top
1000 resumes (i.e., most relevant ones) out of the 5.5 L.
The Match-Index is calculated based on a comparison
between:
- No.
of keywords contained in any given resume
- A
master set of keywords prepared in advance
So far we have completed such Master Sets (of keywords)
for:
- Some
80 odd “Non-IT Function Areas”
- Some
89 “IT Skills Areas”
- Some
150 “Designations” (as displayed on MonsterIndia website)
However, we have subjected our 5.5L resumes to only a few of
the above-mentioned Master Sets, viz.:
- For
“Non-IT Functions” →
- For
“IT Skills” →
- For
“Monster Designations” →
Total
You can see these listed in the GumArchive Tool (with a “Y”
mentioned against these).
Every night, the 5 computers in RecruitGum office process
5.5L resumes for (say) 4 or 5 Master Sets of keywords to find/shortlist the Top
1000 resumes (relevant to those Masters).
Next day, these 4 or 5 get added in the GumArchive Tool.
At this rate, it will take a few weeks to process all the
Master Sets of keywords (which are already prepared).





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