A Conceptual Framework of Expert Finding System for Academic Events and Committess
Snehalata B. Shirude1 , Satish R. Kolhe2
Section:Review Paper, Product Type: Journal Paper
Volume-7 ,
Issue-2 , Page no. 281-283, Feb-2019
CrossRef-DOI: https://doi.org/10.26438/ijcse/v7i2.281283
Online published on Feb 28, 2019
Copyright © Snehalata B. Shirude, Satish R. Kolhe . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Snehalata B. Shirude, Satish R. Kolhe, “A Conceptual Framework of Expert Finding System for Academic Events and Committess,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.2, pp.281-283, 2019.
MLA Style Citation: Snehalata B. Shirude, Satish R. Kolhe "A Conceptual Framework of Expert Finding System for Academic Events and Committess." International Journal of Computer Sciences and Engineering 7.2 (2019): 281-283.
APA Style Citation: Snehalata B. Shirude, Satish R. Kolhe, (2019). A Conceptual Framework of Expert Finding System for Academic Events and Committess. International Journal of Computer Sciences and Engineering, 7(2), 281-283.
BibTex Style Citation:
@article{Shirude_2019,
author = {Snehalata B. Shirude, Satish R. Kolhe},
title = {A Conceptual Framework of Expert Finding System for Academic Events and Committess},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2019},
volume = {7},
Issue = {2},
month = {2},
year = {2019},
issn = {2347-2693},
pages = {281-283},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3656},
doi = {https://doi.org/10.26438/ijcse/v7i2.281283}
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i2.281283}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3656
TI - A Conceptual Framework of Expert Finding System for Academic Events and Committess
T2 - International Journal of Computer Sciences and Engineering
AU - Snehalata B. Shirude, Satish R. Kolhe
PY - 2019
DA - 2019/02/28
PB - IJCSE, Indore, INDIA
SP - 281-283
IS - 2
VL - 7
SN - 2347-2693
ER -
VIEWS | XML | |
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Abstract
In academic institutes or universities, there is always a need to find experts in different subjects. The experts are required as resource persons for various workshop, seminars, and conferences. There is always need of experts for working on various research committees. There are various online research groups available on World Wide Web. Many researchers from various domains relate to each other via these online research groups. This paper describes a conceptual framework which finds experts from online research groups for various academic events and committees.
Key-Words / Index Term
Expert Finding System, Academic event, Research committee, Online research group, ResearchGate, Google Scholar
References
[1] Rostami Peyman and Mahmood Neshati, “T-shaped grouping: Expert finding models to agile software teams retrieval”, Expert Systems with Applications 118, PP: 231-245, (2019).
[2] Gharebagh, Sajad Sotudeh, Peyman Rostami, and Mahmood Neshati, “T-Shaped Mining: A Novel Approach to Talent Finding for Agile Software Teams”, European Conference on Information Retrieval, PP: 411-423, Springer, Cham, (2018).
[3] Wang, Xianzhi, Chaoran Huang, Lina Yao, Boualem Benatallah, and Manqing Dong, “A survey on expert recommendation in community question answering”, Journal of Computer Science and Technology 33, no. 4 PP: 625-653, (2018).
[4] Kundu Dipankar and Deba Prasad Mandal, “Formulation of a hybrid expertise retrieval system in community question answering services”, Applied Intelligence PP: 1-15, (2018).
[5] Liang Shangsong, Xiangliang Zhang, Zhaochun Ren, and Evangelos Kanoulas, “Dynamic embeddings for user profiling in twitter”, In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, pp. 1764-1773. ACM, (2018).
[6] Liu Chao, Dan Yang, Xiaohong Zhang, Baishakhi Ray, and Md Masudur Rahman, “Recommending GitHub Projects for Developer Onboarding”, IEEE Access 6 PP: 52082-52094, (2018).
[7] Silvello Gianmaria, Georgeta Bordea, Nicola Ferro, Paul Buitelaar, and Toine Bogers, “Semantic representation and enrichment of information retrieval experimental data”, International Journal on Digital Libraries 18, no. 2 PP: 145-172, (2017).
[8] Liang Shangsong, and Maarten de Rijke, “Formal language models for finding groups of experts”, Information Processing & Management 52, no. 4 PP: 529-549, (2016).
[9] Alsaleh Saad, and Haryani Haron, “The Most Important Functional and Non-Functional Requirements of Knowledge Sharing System at Public Academic Institutions: A Case Study”, Lecture Notes on Software Engineering 4, no. 2 PP: 157, (2016).