|
Showing
result for: Accuracy：10% (Demographics:
gives you 10% accuracy)
|
Demographics Based
on IP Address, website knows user is from Tokyo and shows random 10 companies, that have office in Tokyo. IP
address: Tokyo, Japan User Types: I am national of: Pakistan Born in: Pakistan |
Case: I am national of: Japan Born in: Japan Action: Show random 10 companies where
headquarter is in Japan. Case: I am national of: Japan Born in: any other country NOT Japan Action: Show random 10 companies,
that hire FOREIGNERS. Case: I am national of: any other country NOT
Japan Born in: Japan Action: Show random 10 companies where
headquarter is in Japan.. Case: I am national of: any other country NOT
Japan Born in: any other country NOT Japan Action: Show random 10 companies,
that hire FOREIGNERS. |
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Accuracy：15% (Education: gives you
5% accuracy)
|
EDUCATION: I
studied in: USA
(Bachelor degree) China (Master
degree) |
Education: Show
2 random companies per degree that have office in Japan and: that
have headquarter office in: -country
where user studied. For example: User
studied in: Germany
(Bachelor degree), Japan
(master degree) and Sweden
(PhD degree). So,
show companies whose headquarter is in: Germany,
Japan and Sweden and they have office in Japan. IF in database, there is no company that meets requirement, then show
any random company. |
Add:
company Baidu. Logic:
User studied in China, and Baidu headquarter is in
Shanghai, China. |
|||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
LANGUAGEE SCHOOL: nothing |
|
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
Does
Company hires foreigners? YES. IF companys
office is in country, where official language is NOT Native language of
candidate. Does Company hires feresh
graduates? If at
least 1 employee in company got first job after Bachelor degree. Does Company hires foreigners who are also
fresh graduates? YES. If company has at least 1 employee
who -Joined
that company after completing Bachelor degree. AND -He
is foreigner in that country, where company has office. Does company hires technical people who do
not have Technical degree? So, if company hired software engineer and
he studied psychology? So,
SELECT Company WHERE JOB Occupation = “SOFTWARE ENGINEER” and previous JOB
OCCUPATION “NOT SOFTWARE ENGINEER” If you have company, and he fills profile. Which
company hired same person? Who has same personality, educational and
experiences? What kind of job occupations company is
hiring? |
Experience: Case: User
does not have previous work experience or he did not write experience
: Then in result, show only companies that hired fresh graduates
(users who graduated and found 1. Job in that company). |
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Accuracy：20% (Experience: each work experience in 1 company gives you 5%
accuracy rate.) We
consider only 5 most recent companies. If user
did not work in any company: (For example: his Bachelor degree graduation
year = current year, then show he will get 25% accuracy.) Then,
show only companies that hire fresh graduates: It means
if user got Bachelor degree in 2018, and he started working for Amazon in
2018, then Amazon is company that hires fresh graduates. So, based on users
writing experiences, algorithm makes list of companies that hire fresh
graduates. If user
worked in only 1 company, then work experience gives you: 25% accuracy.
Total: 25%. If user
worked in 2 companies, then 1. Company he gets 5%, then for 2. Company he
will get remaining (25%-5%=20%). Total: 25%. If user
worked in 3 companies, then 1. Company he gets 5%, then for 2. Company he
gets 5% and for 3. Company he will get remaining (25%-10%=15%). Total: 25%. If user
worked in 4 companies, then 1. Company he gets 5%, then for 2. Company he
gets 5% and for 3. Company he gets 5% and for 4. Company he gets remaining
(25%-15%=10%). Total: 25%. If user
worked in 5 companies, then 1. Company he gets 5%, then for 2. Company he
gets 5% and for 3. Company he gets 5% and for 4. Company he gets 5% and for 5.
Company he gets remaining (25%-20%=5%). Total: 25%. If user
worked in 6. Or more companies, these experiences are ignored. How do
you know which company is recent? Check:
“currently working” field.
|
RESUME Experiences: Product
Manager in Rakuten Office:
Tokyo, Japan (Product
Category: E-Commerce) (3 years) |
Job
Title (what user selected): Company: Location:
Case: Show random
companies that have employees who have: Job
Title (what user selected) AND 1.
Product category same as company user worked 2.
Product category that belongs to same industry user
selected (And that company is hiring
employees who worked in DIFFERENT Product Category but belong to same
industry. Check Excel file: does company hire…..). 3.
Any other product category in any other industry. (According to priority.) (And
company is hiring users who worked in OTHER industry. Check Excel file:
does company hire…..).). (These
numbers:1,2,3 mean priority.) In this example: Job
Title: Product Manager. So, show all companies where employees have job title
= Product Manager. 1.
Product Category: E-Commerce. Show all companies that
have product category: E-Commerce. 2.
Product Category: E-Commerce belongs to Internet
Services. Show all companies that have product category that is in Internet
Service group: Car Rental Booking E-Books E-Commerce E-Learning Electronic Business …… 3. Any other product
category in any other industry: So, any other product category in other industry will be fine. PC
Software, Data Manipulation Software Data Mining Data Warehouse Software … Mobile…. Android Applications iOS/Ipad Applications ……. Also,
always remove companies from result that user worked before where: Country of
previous employment is SAME as country of future employment. For
example: IF user worked in: Company:
Rakuten Country:
Japan, DO
NOT show in result: Company:
Rakuten Country:
Japan, BUT,
you can show: Company:
Rakuten Country:
ANY other country NOT Japan. (In case user selected in COMPANY PREFERENCES,
he wants to work in Japan) |
Add:
Show companies that have Product Manager positions. Logic: Candidate
worked in Rakuten. Product
E-Commerce (which belongs to Internet Services. So, he is match to all companies that
have product category: 1.
E-commerce. 2.
Belong to same industry Internet Services |
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Accuracy：25%
|
Experiences: Product
Manager in Pring Pakistan Office:
Lahore, Pakistan (Product:
Social Network
Services) (1 year) |
Apply
same logic as previous experience. |
Add: DeNA and Gree. Logic: these companies are Social Network Services, and candidate has
experience in Social Network Services. Social Network
Services belongs to Internet Services group, so why we did not add these
companies before? Reason: all employees
who work in these companies have previous experience in Social Network
Services. Analyze
companies: if all employees(who have
technical job titles. Meaning NOT general jobs) in company, have PREVIOS
experience working in that product category, then company is hiring only
users who worked in competitor. For
example, IF all Amazon employees, who work on product category: e-commerce,
have PREVIOUS experience working in e-commerce (Rakuten e-commerce, Alibaba E-commerce), then Amazon is hiring only people
from competitors. If all
employees in 1 company (who have technical job titles. Meaning NOT general
jobs) who
work, have previous experience in same industry (they have experience working
on product category that belongs to same industry), then company is hiring
only users who have “same industry experience.” For
example, IF all Amazon employees, who work on product category: e-commerce,
have PREVIOUS experience working in online travel, online dating……. then
Amazon is hiring only people who have experience in INTERNET SERVICES. IF all
Amazon employees, who work on product category: e-commerce, have PREVIOUS experience
working in product category in other industries: PC software, Computer
Hardware…. , then Amazon is hiring people any
industry. |
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Accuracy：30%
|
Experiences: Product
Manager in CentumX Pakistan Office:
Lahore, Pakistan (Product:
Social Network
Services)
(2 year) |
Apply
same logic as previous experience. |
Add: Linkedin Logic: Social Network Services belongs to Internet Services
group, so why we did not add Linkedin before? Reason: candidate
has now 3 years of experience in Social Network Services, so he would be
match for job. |
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Accuracy：35%
|
Experiences: Product
Manager in Gree Office:
Tokyo, Japan (Product:
Social Network
Services) |
Apply
same logic as previous experience. |
Drop: Gree. Logic: user worked for that company. |
|||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Accuracy：40%
|
Experiences: Product
Manager in Cookpad Inc. Office:
Tokyo, Japan (Product:
Information Website) |
Apply
same logic as previous experience. |
Drop: Cookpad Inc. Logic: user worked for that company. |
|||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Accuracy：45%
|
Experiences: Product
Manager in Cognizant Office:
Tokyo, Japan (Product:
Capital Markets) |
Apply
same logic as previous experience. |
Add: PWC and Wipro. Logic. New
job title. These
companies are hiring users ONLY if they worked in same product category. |
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Accuracy：60% (Languages: give you 15% accuracy)
|
LANGUAGES I
speak: Languages
Suggestion： Urdu
(Native) English
(Fluent) Punjabi Pashto Sindhi Balochi Mandarin
Chinese (Conversational) Cantonese
Japanese (Conversational) Japanese
(Conversational)
|
Languages: Parameter: Check
language requirements of each job title user had: Product
Manager (Check
table in Excel.) If
candidate does not meet requirement remove companies from result. |
Drop:
PWC. Reason:
job requires Japanese (business level.) Candidate
has Conversational level. Remove
companies whose job require language proficiency that user does not meet. |
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Accuracy：69% (Interests: gives you 1% accuracy)
|
Interests artificial
intelligence, bitcoin, robotics |
Check
Interests in teams of each company in
result. Company
1, Team 1: Interests
(artificial intelligence (6 employees), bitcoin (2
employee), startups (2 employee)……) Check
if user has 1 interest that is same as interest at least 1 employee in team
has, then there is match. Then arrange companies, based on number of
employees who have same interest as user. Priority: based on interest user types. For example: 1.
Interest user
has: artificial
intelligence Google: Team 1: interests (artificial
intelligence (6 employees), bitcoin (2 employee), startups (2 employee)……) Microsoft: Team 1: interests (artificial
intelligence (5 employees), bitcoin (2 employee), startups (2 employee)……) So,
Google will rank higher than Microsoft. 2.
Interest user
has: bitcoin Amazon: Team 1: interests (refactoring (5 employees),
bitcoin (3 employees), startups
(2 employee)……) Booking.com: Team 1: interests (clean code (5
employees), bitcoin (2 employee), startups (2 employee)……) So,
Amazon will be ranked higher than Booking.com 3.
Interest user
has: robotics Indeed: Team 1: interests (refactoring (5
employees), bitcoin (3 employees), startups (2 employee)……) Gengo: Team 1: interests (clean code (5
employees), bitcoin (2 employee), startups (2 employee)……) So,
Amazon will be ranked higher than Booking.com |
Drop:
Wipro and Mediweb. Reason:
no employees in team has SAME
interest of user. |
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Accuracy：70% (Lifestyle: gives you 1% accuracy)
|
Lifestyle My Hobbies are: Reading,
Hiking My favorite board games: Chess My favorite Sports are: Football |
Same
logic as Interests applies to Lifestyle. |
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Accuracy：71% (This question gives you 1% accuracy)
|
About Myself: TOPICS of conversation: When I meet
friend we talk about: 1 "NON intellectual" discussion: food,
sport, travel, parties, fun, movies, music... |
Same
logic as Interests applies to this question. |
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Accuracy：72% (International Exposure gives you 1% accuracy)
|
International Exposure I
have experience working with foreigners: YES |
Check:
International Exposure. I
have experience working with foreigners: YES If
YES, then arrange team/companies based on number of different “Born in
countries” in each team. Higher
number of nationality is ranked higher than lower number.
|
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Accuracy：74% (Company Preference gives you 2% accuracy)
|
Company Preference Blacklist: Do
not show jobs in these companies: Toptech Companies
from these countries: Italy Specific
industry: Computer Hardware |
Check
Blacklisted items, and remove them from result. |
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Accuracy：75% (Team Work Preferences gives you 1% accuracy)
|
Team Work Preference |
No
change. User writes answer, accuracy increase, BUT no change in result. |
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Case: user finished personality tests, BUT he did
not finish other sections. Personality
tests: %
(Personality tests gives you 25% accuracy) BIG 5 (gives you 10% accuracy) Assertiveness
Test (gives you 5% accuracy) Intellectual
Curiosity (gives
you 5% accuracy) Motivation (gives you 5% accuracy)
|
User
takes PERSONALITY TESTS: |
Check
personality score of all teams. Remove
companies where employee does not meet requirement. |
Drop: Works
Applications Gengo DeNA Reason:
Candidate is not match based on personality tests. |
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
Job Preferences |
|
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
Showing
result for: Case: user finished ALL sections, all answers. Accuracy:
100% Number
of companies considered: 20 (Explanation
for Alex: this number is all companies that have office, in country where
candidate is located. You can know country based on IP Address) Number
of companies considered: 60 (This
number is: sum of all jobs each company has. In our case, each company has 3
jobs. So, 20*3=60.)
Explanation:
Score on the left side, is average score of: O (Organization), T (Team), M
(Manager) and J (Job) .
|
|
Calculate
score for each: -Organization -Team
-Manager -Job Candidate
need to have at least 80% score on each: -Organization -Team
-Manager -Job IF
user has less than 80% for any: -Organization -Team
-Manager -Job Company
will not be shown in result. |
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
|
|
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
|
|
|
|
||||||||||||||||||||||||||||||||||||||||||||||||||
|
|
|
|
|
|
