10 citations · 10 across the 4 of their papers we have counts for
5 papers
Synerise at RecSys 2021: Twitter user engagement prediction with a fast neural model
Michał Daniluk, Jacek Dąbrowski, Barbara Rychalska +1
In this paper we present our 2nd place solution to ACM RecSys 2021 Challenge organized by Twitter. The challenge aims to predict user engagement for a set of tweets, offering an ex…
Modeling Multi-Destination Trips with Sketch-Based Model
Michał Daniluk, Barbara Rychalska, Konrad Gołuchowski +1
The recently proposed EMDE (Efficient Manifold Density Estimator) model achieves state of-the-art results in session-based recommendation. In this work we explore its application t…
I know why you like this movie: Interpretable Efficient Multimodal Recommender
Barbara Rychalska, Dominika Basaj, Jacek Dąbrowski +1
Recently, the Efficient Manifold Density Estimator (EMDE) model has been introduced. The model exploits Local Sensitive Hashing and Count-Min Sketch algorithms, combining them with…
An efficient manifold density estimator for all recommendation systems
Jacek Dąbrowski, Barbara Rychalska, Michał Daniluk +5
Many unsupervised representation learning methods belong to the class of similarity learning models. While various modality-specific approaches exist for different types of data, a…
Frustratingly Short Attention Spans in Neural Language Modeling
Michał Daniluk, Tim Rocktäschel, Johannes Welbl +1
Neural language models predict the next token using a latent representation of the immediate token history. Recently, various methods for augmenting neural language models with an…