Hirmer, TobiasTobiasHirmer0000-0002-5281-0342Ochs, MichaelaMichaelaOchs0000-0002-3850-8585Henrich, AndreasAndreasHenrich0000-0002-5074-32542024-02-122024-02-1220231613-0073https://fis.uni-bamberg.de/handle/uniba/93461The 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.engDigital Study Planning AssistantVertical SearchSearch ScenariosRecommendation Systems004370conferenceobjecthttps://ceur-ws.org/Vol-3630/LWDA2023-paper22.pdf