100 citations
- Leibniz University HannoverDE89 papers
- Technische Informationsbibliothek (TIB)DE40 papers
- University of BonnDE13 papers
- GESIS - Leibniz Institute for the Social SciencesDE7 papers
- Indian Institute of Technology KharagpurIN6 papers
- University of KasselDE6 papers
- Delft University of TechnologyNL4 papers
- Freie Universität BerlinDE4 papers
- German Research Centre for Artificial IntelligenceDE4 papers
- Aalborg UniversityDK3 papers
- FIZ Karlsruhe – Leibniz Institute for Information InfrastructureDE3 papers
- FORTH Institute of Computer ScienceGR3 papers
37 papers · 1 filter
Introducing ORKG ASK: an AI-driven Scholarly Literature Search and Exploration System Taking a Neuro-Symbolic Approach
Allard Oelen, Mohamad Yaser Jaradeh, Sören Auer
As the volume of published scholarly literature continues to grow, finding relevant literature becomes increasingly difficult. With the rise of generative Artificial Intelligence (…
Quam: Adaptive Retrieval through Query Affinity Modelling
Mandeep Rathee, Sean MacAvaney, Avishek Anand
Building relevance models to rank documents based on user information needs is a central task in information retrieval and the NLP community. Beyond the direct ad-hoc search settin…
LaSER: Language-Specific Event Recommendation
Sara Abdollahi, Simon Gottschalk, Elena Demidova
While societal events often impact people worldwide, a significant fraction of events has a local focus that primarily affects specific language communities. Examples include natio…
Predicting Knowledge Gain for MOOC Video Consumption
Christian Otto, Markos Stamatakis, Anett Hoppe +1
Informal learning on the Web using search engines as well as more structured learning on MOOC platforms have become very popular in recent years. As a result of the vast amount of…
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search
Christian Otto, Markus Rokicki, Georg Pardi +9
The emerging research field Search as Learning investigates how the Web facilitates learning through modern information retrieval systems. SAL research requires significant amounts…
Towards Fair Recommendation in Two-Sided Platforms
Arpita Biswas, Gourab K Patro, Niloy Ganguly +2
Many online platforms today (such as Amazon, Netflix, Spotify, LinkedIn, and AirBnB) can be thought of as two-sided markets with producers and customers of goods and services. Trad…