This assignment consists in analyzing samples from two tables that provide different types of information about companies:
company_entities.tsv: lists the legal company entitiescompany_profiles.tsv: lists the company profiles
Both tables have the following structure:
| Column | Description |
|---|---|
id |
ID of the company entity or company profile. Careful: the entity IDs are different from the profile IDs, e.g. ID 4 in company_entities may refer to LinkedIn while ID 4 in company_profiles may refer to Siemens |
company_name |
name of the company |
website_url |
URL that may link to the company website |
foundation_year |
year when the company was founded |
city |
name of the city where the company is located |
country |
code of the country where the company is located |
It is assumed that there is a 1:n relationship between company profiles and company entities, i.e. one company profile may refer to zero or more company entities.
- Design an algorithm that allows for matching company entities and company profiles.
- Use the
groud_truth.tsvfile to validate the algorithm. - Provide a small, basic REST API to wrap the matching algorithm. It should return the matched companies given company profile data.