Who will respond to your requests for instant trouble-shooting?

Kai Hsiang Hsu, Cheng Te Li, Chien Lin Tseng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 10th International Conference on Web and Social Media, ICWSM 2016
PublisherAAAI Press
Pages591-594
Number of pages4
ISBN (Electronic)9781577357582
Publication statusPublished - 2016 Jan 1
Event10th International Conference on Web and Social Media, ICWSM 2016 - Cologne, Germany
Duration: 2016 May 172016 May 20

Publication series

NameProceedings of the 10th International Conference on Web and Social Media, ICWSM 2016

Other

Other10th International Conference on Web and Social Media, ICWSM 2016
CountryGermany
CityCologne
Period16-05-1716-05-20

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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