Optimizing time slots in scientific meetings: a Latent Dirichlet allocation approach

Luca Frigau
2022-01-01

Abstract

When participating in scientific conferences, often it happens that sessions with similar topics are scheduled at the same time, thus leading to having to choose which one to follow and giving up the others. Recently, to overcome this problem, an algorithm has been proposed that uses Latent Dirichlet allocation to optimize the allocation of sessions in slots. The results obtained on the Joint Statistical Meetings 2020 program, which concerned more than 40 parallel sessions, have been very interesting. In this paper, we investigate the actual adaptability and effectiveness of this algorithm also for medium-sized conference programs such as that of the SIS.
2022
Inglese
Book of the Short Papers
9788891932310
Pearson
110
120
11
51st Scientific Meeting of the Italian Statistical Society
Su invito
Esperti anonimi
Giugno 2022
Caserta
internazionale
scientifica
SIS; conference; LDA; topic modeling; optimization; parallel sessions
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Frigau, Luca
273
1
4.1 Contributo in Atti di convegno
none
info:eu-repo/semantics/conferencePaper
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