NDLI: A bottom-up approach to job recommendation system

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Content Provider	ACM Digital Library
Author	Mishra, Sonu K. Reddy, Manoj
Abstract	Recommendation Systems are omnipresent on the web nowadays. Most websites today are striving to provide quality recommendations to their customers in order to increase and retain their customers. In this paper, we present our approaches to design a job recommendation system for a career based social networking website - XING. We take a bottom up approach: we start with deeply understanding and exploring the data and gradually build the smaller bits of the system. We also consider traditional approaches of recommendation systems like collaborative filtering and discuss its performance. The best model that we produced is based on Gradient Boosting algorithm. Our experiments show the efficacy of our approaches. This work is based on a challenge organized by ACM RecSys conference 2016. We achieved a final full score of 1,411,119.11 with rank 20 on the official leader board.
Starting Page	1
Ending Page	4
Page Count	4
File Format	PDF
ISBN	9781450348010
DOI	10.1145/2987538.2987546
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-09-15
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Collaborative filtering Regression Gradient boosting Recommendation system
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A bottom-up approach to job recommendation system