Wi** out the limitations of Large Language Models--A Taxonomy for Retrieval Augmented Generation

MM Li, I Nikishina, Ö Sevgili, M Semmann - arxiv preprint arxiv …, 2024 - arxiv.org
Current research on RAGs is distributed across various disciplines, and since the
technology is evolving very quickly, its unit of analysis is mostly on technological …

EventChat: Implementation and user-centric evaluation of a large language model-driven conversational recommender system for exploring leisure events in an SME …

H Kunstmann, J Ollier, J Persson… - arxiv preprint arxiv …, 2024 - arxiv.org
Large language models (LLMs) present an enormous evolution in the strategic potential of
conversational recommender systems (CRS). Yet to date, research has predominantly …

Engaging in Data Ecosystems: Propositions for Design Characteristics to Foster Value Co-Creation

M Fassnacht, C Benz, L Riefle, H Fromm… - 2025 - scholarspace.manoa.hawaii.edu
Data ecosystems are gaining traction as key constructs for innovation, collaboration, and co-
creation of value. Existing research has predominantly focused on the design of data …

Impact of IOT on Campus; Smart Student Information System in the Educational Sector.

K Rushina, M Akkur, R Mathias… - Library of Progress …, 2024 - search.ebscohost.com
Understanding the effects of the internet of things (IoT) on the development of smart student
information systems in the education sector is the focus of this research. The role of IoT …

[PDF][PDF] Engaging in Data Ecosystems: Propositions for Design Characteristics to

FV Co-Creation - researchgate.net
Data ecosystems are gaining traction as key constructs for innovation, collaboration, and
cocreation of value. Existing research has predominantly focused on the design of data …