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Grapevine: A profile‐based exploratory search and recommendation system for finding research advisors
Author(s) -
Rahdari Behnam,
Brusilovsky Peter,
Babichenko Dmitriy,
Littleton Eliza Beth,
Patel Ravi,
Fawcett Jaime,
Blum Zara
Publication year - 2020
Publication title -
proceedings of the association for information science and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.193
H-Index - 14
ISSN - 2373-9231
DOI - 10.1002/pra2.271
Subject(s) - exploratory search , task (project management) , exploratory research , recommender system , computer science , world wide web , knowledge management , psychology , information retrieval , data science , engineering , sociology , anthropology , systems engineering
Finding research advisors is an important and challenging task for college students. On one hand, a research advisor that matches student interests and past preparation could fully engage the student with an exciting and productive research experience. On the other hand, students are frequently unable to formulate their interests and experience in a way that allows them to independently find the most compatible advisors using search and browsing tools. This paper reports our experience with designing and evaluating Grapevine , an exploratory search and recommender system aimed at helping students, especially those less prepared and underrepresented in certain fields, find research advisors.