200 citations · 515 across the 16 of their papers we have counts for
5 papers · 1 filter
Large-Scale User Modeling with Recurrent Neural Networks for Music Discovery on Multiple Time Scales
Cedric De Boom, Rohan Agrawal, Samantha Hansen +5
The amount of content on online music streaming platforms is immense, and most users only access a tiny fraction of this content. Recommender systems are the application of choice…
Resource Selection for Federated Search on the Web
Dong Nguyen, Thomas Demeester, Dolf Trieschnigg +1
A publicly available dataset for federated search reflecting a real web environment has long been absent, making it difficult for researchers to test the validity of their federate…
Representation learning for very short texts using weighted word embedding aggregation
Cedric De Boom, Steven Van Canneyt, Thomas Demeester +1
Short text messages such as tweets are very noisy and sparse in their use of vocabulary. Traditional textual representations, such as tf-idf, have difficulty grasping the semantic…
Learning Semantic Similarity for Very Short Texts
Cedric De Boom, Steven Van Canneyt, Steven Bohez +2
Levering data on social media, such as Twitter and Facebook, requires information retrieval algorithms to become able to relate very short text fragments to each other. Traditional…
Predicting Relevance based on Assessor Disagreement: Analysis and Practical Applications for Search Evaluation
Thomas Demeester, Robin Aly, Djoerd Hiemstra +2
Evaluation of search engines relies on assessments of search results for selected test queries, from which we would ideally like to draw conclusions in terms of relevance of the re…