Options
Vertical Search Scenarios within a Digital Study Planning Assistant
Hirmer, Tobias; Ochs, Michaela; Henrich, Andreas (2023): Vertical Search Scenarios within a Digital Study Planning Assistant, in: CEUR Workshop Proceedings, Aachen, Germany, S. 239–246.
Faculty/Chair:
Author:
Title of the Journal:
CEUR Workshop Proceedings
ISSN:
1613-0073
Corporate Body:
RWTH Aachen
Conference:
LWDA’23: Lernen, Wissen, Daten, Analysen. October 09–11, 2023 ; Marburg, Germany
Publisher Information:
Year of publication:
2023
Volume:
3630
Pages:
Language:
English
Abstract:
The process of study planning can be complex and challenging for students. Due to decentralized information and complex study structures, a demand for individualized assistance arises. Search functionality plays an essential role in providing such support to the students in various ways. Therefore, we introduce the vertical search scenario of a digital study planning assistant (DSPA), which is currently developed, as a promising area of research for the information retrieval community. As a main contribution, we explore four exemplary search scenarios, including major challenges and potential solutions for each.
GND Keywords: ; ; ;
Assistenzsystem
Empfehlungssystem
Hochschulbildung
Suche
Keywords: ; ; ;
Digital Study Planning Assistant
Vertical Search
Search Scenarios
Recommendation Systems
DDC Classification:
RVK Classification:
Peer Reviewed:
Yes:
Type:
Conferenceobject
Activation date:
February 12, 2024
Versioning
Question on publication
Permalink
https://fis.uni-bamberg.de/handle/uniba/93461