activity
20172021
most citedContent-aware Neural Hashing for Cold-start Recommendation

29 citations · 116 across the 16 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

cs.CL2020

Multi-Head Self-Attention with Role-Guided Masks

Dongsheng Wang, Casper Hansen, Lucas Chaves Lima +4

The state of the art in learning meaningful semantic representations of words is the Transformer model and its attention mechanisms. Simply put, the attention mechanisms learn to a…

cs.IR2020★ 4 cited

Denmark's Participation in the Search Engine TREC COVID-19 Challenge: Lessons Learned about Searching for Precise Biomedical Scientific Information on COVID-19

Lucas Chaves Lima, Casper Hansen, Christian Hansen +5

This report describes the participation of two Danish universities, University of Copenhagen and Aalborg University, in the international search engine competition on COVID-19 (the…

cs.IR2020★ 15 cited

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…

cs.HC2020★ 9 cited

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…

cs.IR2020★ 29 cited

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…