David Elsweiler

David Elsweiler, Morgan Harvey, Manuel Müller, 2012, 2012 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth) and Workshops.

Supporting human memory in personal information management

David Elsweiler, David Elsweiler, 2008, SIGF.

Exploring memory in email refinding

Mark Baillie, David Elsweiler, Ian Ruthven, 2008, TOIS.

Food Recommender Systems: Important Contributions, Challenges and Future Research Directions pdf

Christoph Trattner, David Elsweiler, David Elsweiler, 2017, ArXiv.

Investigating the Healthiness of Internet-Sourced Recipes: Implications for Meal Planning and Recommender Systems

Christoph Trattner, David Elsweiler, David Elsweiler, 2017, WWW.

Estimating the Healthiness of Internet Recipes: A Cross-sectional Study

Christoph Trattner, David Elsweiler, David Elsweiler, 2017, Front. Public Health.

Do We Still Need Human Assessors? Prompt-Based GPT-3 User Simulation in Conversational AI

D. Losada, David Elsweiler, Bernd Ludwig, 2022, CUI.

“What Can I Cook with these Ingredients?” - Understanding Cooking-Related Information Needs in Conversational Search pdf

Bernd Ludwig, David Elsweiler, Alexander Frummet, 2021, ACM Trans. Inf. Syst..

Understanding casual-leisure information needs: a diary study in the context of television viewing

David Elsweiler, Brian Kirkegaard Lunn, Stefan Mandl, 2010, IIiX.

Engaging and maintaining a sense of being informed: Understanding the tasks motivating twitter search

David Elsweiler, Morgan Harvey, David Elsweiler, 2015, J. Assoc. Inf. Sci. Technol..

Comparing Tweets and Tags for URLs

David Elsweiler, Mark James Carman, Morgan Harvey, 2012, ECIR.

Towards memory supporting personal information management tools

David Elsweiler, Ian Ruthven, Christopher Jones, 2007, J. Assoc. Inf. Sci. Technol..

Keeping Found Things Found: The Study and Practice of Personal Information Management

David Elsweiler, David Elsweiler, 2009, J. Assoc. Inf. Sci. Technol..

Seeding simulated queries with user-study data for personal search evaluation

David E. Losada, David Elsweiler, Ronald T. Fernández, 2011, SIGIR.

Investigating Human Speech Processing as a Model for Spoken Dialogue Systems: An Experimental Framework

Martin Hacker, Bernd Ludwig, David Elsweiler, 2010, ECAI.

Comparing Traditional and Neural Approaches for Detecting Health-Related Misinformation

David E. Losada, David Elsweiler, Juan Carlos Pichel, 2021, CLEF.

BulB - Visualising Bulletin Board Activity

George R. S. Weir, David Elsweiler, John N. Wilson, 2004, ICEIS.

Developing bulletin board visualizations

David Elsweiler, Rehman Mohamed, John D. Ferguson, 2004 .

Detecting Domain-specific Information needs in Conversational Search Dialogues

Bernd Ludwig, David Elsweiler, Alexander Frummet, 2019, NL4AI@AI*IA.

Featured Snippets and their Influence on Users’ Credibility Judgements

David Elsweiler, Steven Zimmerman, Markus Bink, 2022, CHIIR.

Other Times Itźs Just Strolling Back Through My Timeline: Investigating Re-finding Behaviour on Twitter and Its Motivations

David Elsweiler, Florian Meier, David Elsweiler, 2018, CHIIR.

Towards task-based personal information management evaluations

David Elsweiler, Ian Ruthven, I. Ruthven, 2007, SIGIR.

Folksonomic Tag Clouds as an Aid to Content Indexing pdf

Mark Baillie, David Elsweiler, Ian Ruthven, 2009, ArXiv.

Entertainment on the go: finding things to do and see while visiting distributed events

David Elsweiler, Richard Schaller, Morgan Harvey, 2012, IIiX.

Towards Automatic Meal Plan Recommendations for Balanced Nutrition

David Elsweiler, Morgan Harvey, David Elsweiler, 2015, RecSys.

You Are What You Eat: Learning User Tastes for Rating Prediction

Bernd Ludwig, David Elsweiler, Morgan Harvey, 2013, SPIRE.

GLoHBCD: A Naturalistic German Dataset for Language of Health Behaviour Change on Online Support Forums

David Elsweiler, Selina Meyer, 2022, LREC.

Towards Detecting Wikipedia Task Contexts

Bernd Ludwig, David Elsweiler, Hanna Knäusl, 2012, EuroHCIR.

Investigating the Influence of Featured Snippets on User Attitudes

David Elsweiler, Tim Draws, Markus Bink, 2023, CHIIR.

The Effect of Nudges and Boosts on Browsing Privacy in a Naturalistic Environment

Niels Henze, David Elsweiler, Steven Zimmerman, 2021, CHIIR.

Understanding credibility judgements for web search snippets

David Elsweiler, Markus Kattenbeck, David Elsweiler, 2019, Aslib J. Inf. Manag..

Exploiting Food Choice Biases for Healthier Recipe Recommendation

Christoph Trattner, David Elsweiler, Morgan Harvey, 2017, SIGIR.

Bringing the "healthy" into Food Recommenders

Bernd Ludwig, David Elsweiler, Alan Said, 2015, DMRS.

A day at the races

Christoph Trattner, David E. Losada, David Elsweiler, 2021, Applied Intelligence.

Food Recommender Systems

David Elsweiler, C. Trattner, H. Hauptmann, 2022, Recommender Systems Handbook.

On the predictability of the popularity of online recipes

Christoph Trattner, David Elsweiler, Dominik Moesslang, 2018, EPJ Data Science.

Understanding and predicting cross-cultural food preferences with online recipe images

David Elsweiler, Qing Zhang, C. Trattner, 2023, Inf. Process. Manag..

Understanding Cross-Cultural Visual Food Tastes with Online Recipe Platforms

Bernd Ludwig, Christoph Trattner, David Elsweiler, 2019, ICWSM.

Automated Recommendation of Healthy, Personalised Meal Plans

David Elsweiler, Morgan Harvey, David Elsweiler, 2015, RecSys.

Learning user tastes: a first step to generating healthy meal plans

Bernd Ludwig, David Elsweiler, Morgan Harvey, 2012 .

Towards a Framework for Harm Prevention in Web Search

Udo Kruschwitz, Stefan M. Herzog, David Elsweiler, 2020, BIRDS@SIGIR.

Report on the future conversations workshop at CHIIR 2021

Daniel McDuff, Mary Czerwinski, Paul Thomas, 2021, SIGIR Forum.

Studying Politicians' Information Sharing on Social Media

David Elsweiler, Florian Meier, David Elsweiler, 2019, CHIIR.

Personal information management and social networks re-finding on Twitter

David Elsweiler, Florian Meier, David Elsweiler, 2014, IIiX.

Tweets I've seen: analysing factors influencing re-finding frustration on Twitter

David Elsweiler, Florian Meier, David Elsweiler, 2014, IIiX.

More than Liking and Bookmarking? Towards Understanding Twitter Favouriting Behaviour

Max L. Wilson, David Elsweiler, Florian Meier, 2014, ICWSM.

Improving the Reliability of Health Information Credibility Assessments

D. Losada, David Elsweiler, Marcos Fernández-Pichel, 2023, ROMCIR@ECIR.

Conversational Agents for Recipe Recommendation

David Elsweiler, Morgan Harvey, Sabrina Barko-Sherif, 2020, CHIIR.

Going back in Time: An Investigation of Social Media Re-finding

David Elsweiler, Florian Meier, David Elsweiler, 2016, SIGIR.

What Makes Re-finding Information Difficult? A Study of Email Re-finding

Mark Baillie, David Elsweiler, Ian Ruthven, 2011, ECIR.

On Understanding the Relationship Between Recollection and Refinding

Mark Baillie, David Elsweiler, Ian Ruthven, 2009, J. Digit. Inf..

User Nutrition Modelling and Recommendation: Balancing Simplicity and Complexity

Bernd Ludwig, Francesco Ricci, Georg Groh, 2017, UMAP.

Using Social Media Data to Analyse Issue Engagement During the 2017 German Federal Election

David Elsweiler, Alexander Bazo, Florian Meier, 2021, ACM Trans. Internet Techn..

Towards Cross-Content Conversational Agents for Behaviour Change: Investigating Domain Independence and the Role of Lexical Features in Written Language Around Change

David Elsweiler, Selina Meyer, 2023, CUI.

Ways we can improve Simulated Personal Search Evaluation

David E. Losada, David Elsweiler, D. Losada, 2011 .