activity
20162021
collaborators

5 papers

cs.LG2021

Surfacing Estimation Uncertainty in the Decay Parameters of Hawkes Processes with Exponential Kernels

Tiago Santos, Florian Lemmerich, Denis Helic

As a tool for capturing irregular temporal dependencies (rather than resorting to binning temporal observations to construct time series), Hawkes processes with exponential decay h…

cs.CY2021

Limiting Tags Fosters Efficiency

Tiago Santos, Keith Burghardt, Kristina Lerman +1

Tagging facilitates information retrieval in social media and other online communities by allowing users to organize and describe online content. Researchers found that the efficie…

cs.LG2020

On the Impact of Communities on Semi-supervised Classification Using Graph Neural Networks

Hussain Hussain, Tomislav Duricic, Elisabeth Lex +2

Graph Neural Networks (GNNs) are effective in many applications. Still, there is a limited understanding of the effect of common graph structures on the learning process of GNNs. I…

cs.SI2020

Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering

Tomislav Duricic, Hussain Hussain, Emanuel Lacic +3

In this work, we study the utility of graph embeddings to generate latent user representations for trust-based collaborative filtering. In a cold-start setting, on three publicly a…

cs.SI2016

Assessing the Navigational Effects of Click Biases and Link Insertion on the Web

Florian Geigl, Kristina Lerman, Simon Walk +2

Websites have an inherent interest in steering user navigation in order to, for example, increase sales of specific products or categories, or to guide users towards specific infor…