Designing Recommender Systems for Digital Humanities episode artwork

EPISODE · Nov 23, 2025 · 36 MIN

Designing Recommender Systems for Digital Humanities

from Data Skeptic

In this episode of Data Skeptic, we explore the fascinating intersection of recommender systems and digital humanities with guest Florian Atzenhofer-Baumgartner, a PhD student at Graz University of Technology. Florian is working on Monasterium.net, Europe's largest online collection of historical charters, containing millions of medieval and early modern documents from across the continent. The conversation delves into why traditional recommender systems fall short in the digital humanities space, where users range from expert historians and genealogists to art historians and linguists, each with unique research needs and information-seeking behaviors. Florian explains the technical challenges of building a recommender system for cultural heritage materials, including dealing with sparse user-item interaction matrices, the cold start problem, and the need for multi-modal similarity approaches that can handle text, images, metadata, and historical context. The platform leverages various embedding techniques and gives users control over weighting different modalities—whether they're searching based on text similarity, visual imagery, or diplomatic features like issuers and receivers. A key insight from Florian's research is the importance of balancing serendipity with utility, collection representation to prevent bias, and system explainability while maintaining effectiveness. The discussion also touches on unique evaluation challenges in non-commercial recommendation contexts, including Florian's "research funnel" framework that considers discovery, interaction, integration, and impact stages. Looking ahead, Florian envisions recommendation systems becoming standard tools for exploration across digital archives and cultural heritage repositories throughout Europe, potentially transforming how researchers discover and engage with historical materials. The new version of Monasterium.net, set to launch with enhanced semantic search and recommendation features, represents an important step toward making cultural heritage more accessible and discoverable for everyone.  

NOW PLAYING

Designing Recommender Systems for Digital Humanities

0:00 36:48

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

NEWMORROW SESSIONS - A PodCast Series on the Future of Hospitality Mario C. Bauer, Florian Schneider, Axel Weber & Dr. Tillman Bardt The Newmorrow PodCast is more than a podcast — it's a platform for open dialog on the future of our business, a platform for those building what doesn’t exist yet. Here, we share and embrace our passion for the hospitality industry, but we won’t romanticize the journey. We ask the tough questions, confront uncomfortable truths, and prepare for a future that resists easy answers. We believe that the tougher and wilder times become, the more openly, honestly and humanely people need to talk to each other and act together. We believe, openness, togetherness, and truthfulness should also be cornerstones of a professional community to develop our utopian idea of „open source“. This is a space where visionaries don’t just imagine the future — they wrestle with the paradoxes that shape it: success vs. happiness, data vs. instinct, stability vs. reinvention. Join leaders, entrepreneurs, and thinkers as they share not what made them — but what’s actively shaping them, now and next. So tune in The Health Odyssey: Navigating Tomorrow's Medicine Podcast Welcome to 'The Health Odyssey: Navigating Tomorrow's Medicine,' where we embark on an adventurous journey through the ever-evolving world of healthcare. Each episode is like a treasure map, guiding you through the rich tapestry of ancient healing arts mixed with futuristic tech wizardry. We’ll chat about the wild west of health data privacy, the corporate giants reshaping our care, and the mind-bending potential of psychedelics for mental wellness. Think of us as your trusty sidekicks, unraveling the mysteries of modern medicine while keeping it real and relatable. Let’s dive into the stories, the science, and the soul of healthcare, paving the way for a healthier tomorrow. Talent Stacker Jonathan Mendonsa Data suggests that the average cost of college in 2019 was $122,000 while the entry-level salary for a college graduate at the same time period was 50,000. ROI is a distant memory.hopefully for that that $122,000 the student graduates with a degree and possibly some skills. The reality is, as most individuals approach graduation, they realize that ultimately what they have to prove to their employers that they actually have the skills and since you don't need a degree or permission to start building skills, let’s document the stories and best practices of individuals that crushed the game by focusing on building their skills and their talent stack. Maybe you feel like you don’t have a talent stack. What are the skills you need to be able to generate an above-median income and when paired with interest-led learning this talent stack will allow you to work towards financial independence and design your future?If you're up for this challenge to go from no Talent Stack to designing you Sacramento, California Crime Report Inception Point Ai Sacramento, California Crime Report is your go-to podcast for the latest updates and in-depth analysis of crime trends in the Sacramento area. Join us as we explore real cases, discuss law enforcement efforts, and offer expert insights into the community's safety. Stay informed and engaged with comprehensive coverage of everything from local crime stories to broader criminal justice issues affecting Sacramento. Tune in for weekly episodes that dive into the data and deliver the facts you need to stay aware in California's capital city. For more info go to https://www.quietplease.ai Check out these deals https://amzn.to/48MZPjsThis show includes AI-generated content.

Frequently Asked Questions

How long is this episode of Data Skeptic?

This episode is 36 minutes long.

When was this Data Skeptic episode published?

This episode was published on November 23, 2025.

What is this episode about?

In this episode of Data Skeptic, we explore the fascinating intersection of recommender systems and digital humanities with guest Florian Atzenhofer-Baumgartner, a PhD student at Graz University of Technology. Florian is working on Monasterium.net,...

Can I download this Data Skeptic episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!