TY - GEN
T1 - Who will respond to your requests for instant trouble-shooting?
AU - Hsu, Kai Hsiang
AU - Li, Cheng Te
AU - Tseng, Chien Lin
N1 - Publisher Copyright:
© Copyright 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2016
Y1 - 2016
N2 - Instant mentoring services are novel social media, in which mentees can input expertise requests and wait for accepting some expert mentors who are willing to tackle the requests in an instant and one-by-one manner. While mentee's satisfaction of being mentored is determined by the matched mentor, this paper aims at analyzing and finding which mentors will respond to the given request raised by a mentee in Codementor, which is one of the popular instant mentoring services. We formulate the Mentor Willingness Ranking (MWR) problem. MWR is to understand whether a mentor is willing to tackle a request. We propose to deal with the task by generating a ranked list of mentors such that those mentors who are really willing to tackle the request are as many as possible. We develop three categories of features, Availability, Capability, and Activity, to model the willingness of a mentor dealing with the request. Results of analysis show the effectiveness of these features, and encourage develop learning-based method to accurately identify the willing mentors.
AB - Instant mentoring services are novel social media, in which mentees can input expertise requests and wait for accepting some expert mentors who are willing to tackle the requests in an instant and one-by-one manner. While mentee's satisfaction of being mentored is determined by the matched mentor, this paper aims at analyzing and finding which mentors will respond to the given request raised by a mentee in Codementor, which is one of the popular instant mentoring services. We formulate the Mentor Willingness Ranking (MWR) problem. MWR is to understand whether a mentor is willing to tackle a request. We propose to deal with the task by generating a ranked list of mentors such that those mentors who are really willing to tackle the request are as many as possible. We develop three categories of features, Availability, Capability, and Activity, to model the willingness of a mentor dealing with the request. Results of analysis show the effectiveness of these features, and encourage develop learning-based method to accurately identify the willing mentors.
UR - http://www.scopus.com/inward/record.url?scp=84979530382&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84979530382&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84979530382
T3 - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
SP - 591
EP - 594
BT - Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
PB - AAAI Press
T2 - 10th International Conference on Web and Social Media, ICWSM 2016
Y2 - 17 May 2016 through 20 May 2016
ER -