An embedding-based question-to-expert distance metric for expertise matching is presented and a ranking factor graph (RankFG) model is proposed to predict ...
We study the problem of finding appropriate experts who are able to complete timely reviews and would not say "no" to the invitation.
We study the problem of finding appropriate experts who are able to complete timely reviews and would not say "no" to the invitation.
Learning for Expertise Matching with Declination Prediction · Yujie QianJie Tang ; Weakly Learning to Match Experts in Online Community · Yujie QianJie Tang ...
Learning for Expertise Matching with Declination Prediction. We study the problem of finding appropriate experts who are able to comp... 0 Yujie Qian, et al ...
Oct 12, 2024 · Machine Learning Augmented Prediction of Saturn's Right Ascension and. Declination. Aditya Kirubakaran, Timothy Torubarov,. Kevin Zhang, Mayank ...
Tang. CoRR, (2016 )Learning for Expertise Matching with Declination Prediction.Y. Qian, and J. Tang. CoRR, (2016 )Introduction to Special Issue on Social ...
Sep 9, 2020 · In this study, we developed a new method of automatically predicting the magnetization direction of a magnetic source body using convolutional neural networks ...
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Our research introduces the use of convolutional neural networks for the characterization of magnetic anomalies.
In this paper, we solve the problem of committee review assignment with multi-aspect expertise matching by casting it as an integer linear programming problem.