On the Predictability of Talk Attendance at Academic Conferences
C. Scholz, J. Illig, M. Atzmueller, and G. Stumme. Proceedings of the 25th ACM Conference on Hypertext and Social Media, page 279--284. Santiago, Chile, ACM, (September 2014)
Abstract
This paper focuses on the prediction of real-world talk attendances at academic conferences with respect to different influence factors. We study and discuss the predictability of talk attendances using real-world face-to-face contact data and user interests extracted from the users' previous publications. For our experiments, we apply RFID-tracked talk attendance information captured at the ACM Conference on Hypertext and Hypermedia 2011. We find that contact and similarity networks achieve comparable results, and that combining these networks helps to a limited extent to improve the prediction quality.
%0 Conference Paper
%1 scholz2014predictability
%A Scholz, Christoph
%A Illig, Jens
%A Atzmueller, Martin
%A Stumme, Gerd
%B Proceedings of the 25th ACM Conference on Hypertext and Social Media
%C Santiago, Chile
%D 2014
%I ACM
%K 2014 chile ht myown paper prediction talk
%P 279--284
%T On the Predictability of Talk Attendance at Academic Conferences
%X This paper focuses on the prediction of real-world talk attendances at academic conferences with respect to different influence factors. We study and discuss the predictability of talk attendances using real-world face-to-face contact data and user interests extracted from the users' previous publications. For our experiments, we apply RFID-tracked talk attendance information captured at the ACM Conference on Hypertext and Hypermedia 2011. We find that contact and similarity networks achieve comparable results, and that combining these networks helps to a limited extent to improve the prediction quality.
@inproceedings{scholz2014predictability,
abstract = {This paper focuses on the prediction of real-world talk attendances at academic conferences with respect to different influence factors. We study and discuss the predictability of talk attendances using real-world face-to-face contact data and user interests extracted from the users' previous publications. For our experiments, we apply RFID-tracked talk attendance information captured at the ACM Conference on Hypertext and Hypermedia 2011. We find that contact and similarity networks achieve comparable results, and that combining these networks helps to a limited extent to improve the prediction quality.},
added-at = {2015-10-16T11:43:53.000+0200},
address = {Santiago, Chile},
author = {Scholz, Christoph and Illig, Jens and Atzmueller, Martin and Stumme, Gerd},
biburl = {https://www.bibsonomy.org/bibtex/2f5867be917f2a45f4b6d6e3fc842369a/kde-alumni},
booktitle = {Proceedings of the 25th ACM Conference on Hypertext and Social Media},
interhash = {0d109dea7c2d5bab0fdd68d212fb88cd},
intrahash = {f5867be917f2a45f4b6d6e3fc842369a},
keywords = {2014 chile ht myown paper prediction talk},
month = {September},
pages = {279--284},
publisher = {ACM},
series = {HT '14},
timestamp = {2016-11-29T17:44:45.000+0100},
title = {On the Predictability of Talk Attendance at Academic Conferences},
year = 2014
}