leonardlohky / irs-pm-2020-01-18-is02pt-grp7-smart-job-recommender-system

ISS_MR_GRP7_JobRecommender

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SECTION 1 : PROJECT TITLE

Smart Job Recommender System

SECTION 2 : EXECUTIVE SUMMARY / PAPER ABSTRACT

With the increasing usage of the internet, recruiters and job seekers alike are turning more towards job search websites such as LinkedIn, JobStreet or MyCareersFuture for job hunting. Users will be provided a list of possible job options based on their search criteria. From there, users have to sort through the list and analyze each job listing to see if they are able to meet the requirements.

This process is very tedious and inefficient due to the amount of workload required from the applicants. In addition, a significant number of job listings included from the search result tend to be completely incompatible with the job seeker, causing them to spend hours finding ones that are suitable. Thus, a new system to automate most of the manual process would be appealing to job seekers. The system would be able to reduce the overall amount of workload required, and inform them of which jobs are most suitable based on certain criteria.

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SECTION 3 : CREDITS / PROJECT CONTRIBUTION

Official Full Name	Student ID (MTech Applicable)	Work Items (Who Did What)	Email (Optional)
Leonard Loh Kin Yung	A0213553M	Development of business rules and score-based heuristic evaluation, system development in KIE Workbench, integration of CSV database and Google API integration with KIE workbench, user form modelling, documentation	[email protected]
Daniel Tan Hoong Xiang	A0074608B	Validation of system integration between data mining and KIE workbench, validation of KIE workbench codes, validation of data mining and machine learning codes, business rules development, businesss development in a business level, documentation, video editting and video recording, integration of CSV database, system development in KIE	[email protected]
Aaron Kueh Hee Kheng	A0213552N	Development of algorithm for web-crawling on job website, data cleaning, data mining, feature engineering and machine learning modeling, data mining architecture design, documentation	[email protected]

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SECTION 4 : VIDEO OF SYSTEM MODELLING & USE CASE DEMO

<Youtube link to project video>: https://youtu.be/Ce0ZZE3HxcQ

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SECTION 5 : USER GUIDE

Refer to <Installation & User Guide> at Github Folder: UserGuide

<Github file link>: https://github.com/danieltanhx/IRS-PM-2020-01-18-IS02PT-GRP7-Smart-Job-Recommender-System/blob/master/UserGuide/Job%20Recommender%20User%20Guide.pdf

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SECTION 6 : PROJECT REPORT / PAPER

Refer to project report at Github Folder: ProjectReport

<Github file link>: https://github.com/danieltanhx/IRS-PM-2020-01-18-IS02PT-GRP7-Smart-Job-Recommender-System/blob/master/ProjectReport/Smart%20Job%20Recommender%20System%20Report.pdf

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SECTION 7 : Database

Refer to Github Folder: Database

Contains the job database CSV file for KIE to consume, as well as offline estimated travel time required for selected postal codes. The folder contains the following items:

• JobDatas.csv
• 140132.json
• 510769.json
• 641518.json

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