Embedding-based team formation for community question answering
Abstract
This paper presents embedding-based approaches for team formation in community question answering platforms, improving expert matching and collaboration.
Type
Publication
Information Sciences
This work applies embedding-based methods to improve team formation in community question answering systems.
Morteza Zihayat
Principal Investigator
Dr. Morteza Zihayat is an Assistant Professor in the School of Information Technology Management at Toronto Metropolitan University and the Director of the Human-Centered Machine Intelligence Lab.