NDLI: Learning to rank experts using combination of multiple features of expertise

Content Provider	IEEE Xplore Digital Library
Author	Kavitha, V. Manju, G. Geetha, T.V.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Anna Univ., Chennai, India (Kavitha, V.; Manju, G.; Geetha, T.V.)
Abstract	In academic domain, technical conferences are conducted to share different research ideas and to propose new research methodologies. The number of conferences being conducted in different academic domains and the number of research participants in conference are increasing rapidly. The conference chairs face difficulty in assigning panel of reviewers for various research topics. A ranked list of experts in a specific topic would assist the conference chairs in finding panel of reviewers. Expert finding system provides solution to this problem. The task of expert finding system is to determine a list of people sorted by their level of expertise in a specific research topic. This paper combines multiple features of research expertise to rank the list of experts on a topic. The ranked list of experts can be used to update the topic relevance score of a researcher for a specific research area. In order to rank the experts, we have used novel time weighted Citation Graph based features, modified Latent Dirichlet Allocation based textual features and Profile based features to represent the expertise of a researcher. Rank aggregation is done based on multiple features. Lambda rank, a semi-supervised learning to rank algorithm is used to learn the ranking function. The ranked list of experts for a research topic is suggested using the learned ranking function. Experiments made over a dataset of academic publications in the area of Computer Science using combination of new features of expertise provide better ranked list of experts than using individual features.
Starting Page	1053
Ending Page	1058
File Size	183669
Page Count	6
File Format	PDF
ISBN	9781479930784
e-ISBN	9781479930807
DOI	10.1109/ICACCI.2014.6968216
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-24
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Vocabulary Citation graph Computational modeling Expert finding Abstracts LDA Feature extraction Lambda rank Vectors Learning to rank Indexes
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