New code sample: Job Recommendation System - end-to-end workload
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:
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. Data cleaning and pre-processing - removal of duplicates, explanation all necessary steps for text pre-processing. Fraud job postings removal - finding which of the job posting are fake using LSTM DNN and filtering them. Job recommendation - calculation and providing top-n job descriptions similar to the chosen one.
Checklist
Administrative
- [ ] Review sample design with the appropriate Domain Expert: <insert Name Here>
- [ ] If you have any new dependencies/binaries, inform the oneAPI Code Samples Project Manager
Code Development
- [x ] Implement coding guidelines and ensure code quality. see wiki for details
- [x ] Adhere to readme template
- [ ] Enforce format via clang-format config file
- [x ] Adhere to sample.json specification. https://github.com/oneapi-src/oneAPI-samples/wiki/sample-json-specification
- [ x] Ensure/create CI test configurations for sample (ciTests field) https://github.com/oneapi-src/oneAPI-samples/wiki/sample-json-ci-test-object
- [x ] 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
- [x ] Tested using Dev Cloud when applicable