paper-conference

Michael Vötter, Maximilian Mayerl, Eva Zangerle, Günther Specht

SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation

Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle

Third Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023)

Alan Said, Eva Zangerle, Christine Bauer

Music4All-Onion -- A Large-Scale Multi-Faceted Content-Centric Music Recommendation Dataset

Marta Moscati, Emilia Parada-Cabaleiro, Yashar Deldjoo, Eva Zangerle, Markus Schedl

Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022)

Eva Zangerle, Christine Bauer, Alan Said

Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection

The paper gives a brief overview of the four shared tasks to be organized at the PAN 2022 lab on digital text forensics and stylometry …

Janek Bevendorff, Berta Chulvi, Elisabetta Fersini, Annina Heini, Mike Kestemont, Krzysztof Kredens, Maximilian Mayerl, Reyner Ortega-Bueno, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle

Co-rating Attacks on Recommendation Algorithms

Manfred Moosleitner, Günther Specht, Eva Zangerle

Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection

Janek Bevendorff, Berta Chulvi, Elisabetta Fersini, Annina Heini, Mike Kestemont, Krzysztof Kredens, Maximilian Mayerl, Reynier Ortega-Bueno, Piotr Pezik, Martin Potthast, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, Benno Stein, Matti Wiegmann, Magdalena Wolska, Eva Zangerle

Overview of the Style Change Detection Task at PAN 2022

Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein

Unsupervised Graph Embeddings for Session-based Recommendation with Item Features

Andreas Peintner, Marta Moscati, Emilia Parada-Cabaleiro, Markus Schedl, Eva Zangerle