29 citations · 126 across the 20 of their papers we have counts for
24 papers
Unsupervised Multi-Index Semantic Hashing
Christian Hansen, Casper Hansen, Jakob Grue Simonsen +2
Semantic hashing represents documents as compact binary vectors (hash codes) and allows both efficient and effective similarity search in large-scale information retrieval. The sta…
Unsupervised Semantic Hashing with Pairwise Reconstruction
Casper Hansen, Christian Hansen, Jakob Grue Simonsen +2
Semantic Hashing is a popular family of methods for efficient similarity search in large-scale datasets. In Semantic Hashing, documents are encoded as short binary vectors (i.e., h…
Factuality Checking in News Headlines with Eye Tracking
Christian Hansen, Casper Hansen, Jakob Grue Simonsen +3
We study whether it is possible to infer if a news headline is true or false using only the movement of the human eyes when reading news headlines. Our study with 55 participants w…
Content-aware Neural Hashing for Cold-start Recommendation
Casper Hansen, Christian Hansen, Jakob Grue Simonsen +2
Content-aware recommendation approaches are essential for providing meaningful recommendations for \textit{new} (i.e., \textit{cold-start}) items in a recommender system. We presen…
Modelling End-of-Session Actions in Educational Systems
Christian Hansen, Casper Hansen, Stephen Alstrup +1
In this paper we consider the problem of modelling when students end their session in an online mathematics educational system. Being able to model this accurately will help us opt…
Tracking Behavioral Patterns among Students in an Online Educational System
Stephan Lorenzen, Niklas Hjuler, Stephen Alstrup
Analysis of log data generated by online educational systems is an essential task to better the educational systems and increase our understanding of how students learn. In this st…