New code sample: Job Recommendation System - end-to-end workload

[krzeszew]

Adding a New Sample(s)

Description

This sample illustrates the use of Intel® Extension for TensorFlow* to build and run an end-to-end AI workload on the example of the job recommendation system.

It consists of four main parts:

1. Data exploration and visualization - showing what the dataset is looking like, what are some of the main features and what is a data distribution in it.
2. Data cleaning and pre-processing - removal of duplicates, explanation all necessary steps for text pre-processing.
3. Fraud job postings removal - finding which of the job posting are fake using LSTM DNN and filtering them.
4. Job recommendation - calculation and providing top-n job descriptions similar to the chosen one.

Checklist

Administrative

• Review sample design with the appropriate Domain Expert:
• If you have any new dependencies/binaries, inform the oneAPI Code Samples Project Manager

Code Development

• Implement coding guidelines and ensure code quality. see wiki for details
• Adhere to readme template
• Enforce format via clang-format config file
• Adhere to sample.json specification. https://github.com/oneapi-src/oneAPI-samples/wiki/sample-json-specification
• Ensure/create CI test configurations for sample (ciTests field) https://github.com/oneapi-src/oneAPI-samples/wiki/sample-json-ci-test-object
• Run jsonlint on sample.json to verify json syntax. www.jsonlint.com

Security and Legal

• OSPDT Approval (see Project Manager for assistance)
• Compile using the following compiler flags and fix any warnings, the falgs are: "/Wall -Wformat-security -Werror=format-security"
• Bandit Scans (Python only)
• Virus scan

Review

• Review DPC++ code with Paul Peterseon. (GitHub User: pmpeter1)
• Review readme with Tom Lenth(@tomlenth) and/or Project Manager
• Tested using Dev Cloud when applicable