Benjamin Kille

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 36

Top Topics

Recommender Systems

News Recommendation

Contextual Factors

Content Features

Top Venues

CLEF (Working Notes)

Publications

Tu My Doan, David Baumgartner, Benjamin Kille, Jon Atle Gulla
Automatically Detecting Political Viewpoints in Norwegian Text. IDA (1) (2024)
Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Lemei Zhang, Simen Eide
Report on the 11th International Workshop on News Recommendation and Analytics (INRA 2023) at ACM RecSys 2023. SIGIR Forum 57 (2) (2023)
Bjørnar Vassøy, Helge Langseth, Benjamin Kille
Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders. CoRR (2023)
Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Simen Eide, Lemei Zhang
The Eleventh International Workshop on News Recommendation and Analytics (INRA'23). RecSys (2023)
Andreas Lommatzsch, Benjamin Kille, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen
The Relation between Texts and Images in News: News Images in MediaEval 2023. MediaEval (2023)
Bjørnar Vassøy, Helge Langseth, Benjamin Kille
Providing Previously Unseen Users Fair Recommendations Using Variational Autoencoders. RecSys (2023)
Tu My Doan, Benjamin Kille, Jon Atle Gulla
SP-BERT: A Language Model for Political Text in Scandinavian Languages. NLDB (2023)
Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Jon Atle Gulla, Edward C. Malthouse
The 10th International Workshop on News Recommendation and Analytics (INRA 2022). SIGIR (2022)
Tu My Doan, Benjamin Kille, Jon Atle Gulla
Using Language Models for Classifying the Party Affiliation of Political Texts. NLDB (2022)
Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen
News Images in MediaEval 2022. MediaEval (2022)
Andreas Lommatzsch, Benjamin Kille, Özlem Özgöbek, Yuxiao Zhou, Jelena Tesic, Cláudio Bartolomeu, David Semedo, Lidia Pivovarova, Mingliang Liang, Martha A. Larson
NewsImages: addressing the depiction gap with an online news dataset for text-image rematching. MMSys (2022)
Özlem Özgöbek, Benjamin Kille, Anja Rosvold From, Ingvild Unander Netland
Fake News Detection by Weakly Supervised Learning Based on Content Features. NAIS (2022)
Abraham Bernstein, Claes H. de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Anna Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Möller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, Theresa Zueger
Diversity in News Recommendation (Dagstuhl Perspectives Workshop 19482). Dagstuhl Manifestos 9 (1) (2021)
Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Zhixin Pu, Jon Atle Gulla
9th International Workshop on News Recommendation and Analytics. RecSys (2021)
Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen
News Images in MediaEval 2021. MediaEval (2021)
Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek
News Images in MediaEval 2020. MediaEval (2020)
Abraham Bernstein, Claes H. de Vreese, Natali Helberger, Wolfgang Schulz, Katharina Anna Zweig, Christian Baden, Michael A. Beam, Marc P. Hauer, Lucien Heitz, Pascal Jürgens, Christian Katzenbach, Benjamin Kille, Beate Klimkiewicz, Wiebke Loosen, Judith Möller, Goran Radanovic, Guy Shani, Nava Tintarev, Suzanne Tolmeijer, Wouter van Atteveldt, Sanne Vrijenhoek, Theresa Zueger
Diversity in News Recommendations. CoRR (2020)
Özlem Özgöbek, Benjamin Kille, Jon Atle Gulla, Andreas Lommatzsch
The 7th international workshop on news recommendation and analytics (INRA 2019). RecSys (2019)
Andreas Lommatzsch, Benjamin Kille, Kevin Styp-Rekowski, Max Karl, Jan Pommering
A Framework for Analyzing News Images and Building Multimedia-Based Recommender. I4CS (2019)
Benjamin Kille, Andreas Lommatzsch
Defining a Meaningful Baseline for News Recommender Systems. INRA@RecSys (2019)
Benjamin Kille, Özlem Özgöbek, Andreas Lommatzsch
Defining Contextual Factors for News Consumption. CIKM Workshops (2018)
Özlem Özgöbek, Benjamin Kille, Jon Atle Gulla, Martha A. Larson, Andreas Lommatzsch
6th International Workshop on News Recommendation and Analytics (INRA 2018). CIKM Workshops (2018)
Andreas Lommatzsch, Benjamin Kille
Baseline Algorithms for Predicting the Interest in News Based on Multimedia-Data. MediaEval (2018)
Alexandru Ciobanu, Andreas Lommatzsch, Benjamin Kille
Predicting the Interest in News Based on Image Annotations. MediaEval (2018)
Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Leif Ramming
NewsREEL Multimedia at MediaEval 2018: News Recommendation with Image and Text Content. MediaEval (2018)
Elena Viorica Epure, Benjamin Kille, Jon Espen Ingvaldsen, Rébecca Deneckère, Camille Salinesi, Sahin Albayrak
Recommending Personalized News in Short User Sessions. RecSys (2017)
Andreas Lommatzsch, Benjamin Kille, Sahin Albayrak
Incorporating context and trends in news recommender systems. WI (2017)
Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Torben Brodt
CLEF 2017 NewsREEL Overview: Offline and Online Evaluation of Stream-based News Recommender Systems. CLEF (Working Notes) (2017)
Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Martha A. Larson, Torben Brodt, Jonas Seiler, Özlem Özgöbek
CLEF 2017 NewsREEL Overview: A Stream-Based Recommender Task for Evaluation and Education. CLEF (2017)
Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Arjen P. de Vries
A Stream-based Resource for Multi-Dimensional Evaluation of Recommender Algorithms. SIGIR (2017)
Elena Viorica Epure, Benjamin Kille, Jon Espen Ingvaldsen, Rébecca Deneckère, Camille Salinesi, Sahin Albayrak
Modeling the Dynamics of Online News Reading Interests. UMAP (2017)
Benjamin Kille, Sahin Albayrak
On the Decaying Utility of News Recommendation Models. RecTemp@RecSys (2017)
Mario Scriminaci, Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Martha A. Larson, Davide Malagoli, András Serény, Till Plumbaum
Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms. RecSys Posters (2016)
Benjamin Kille, Andreas Lommatzsch, Gebrekirstos G. Gebremeskel, Frank Hopfgartner, Martha A. Larson, Jonas Seiler, Davide Malagoli, András Serény, Torben Brodt, Arjen P. de Vries
Overview of NewsREEL'16: Multi-dimensional Evaluation of Real-Time Stream-Recommendation Algorithms. CLEF (2016)
Jing Yuan, Andreas Lommatzsch, Benjamin Kille
Clicks Pattern Analysis for Online News Recommendation Systems. CLEF (Working Notes) (2016)
Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha A. Larson, Jonas Seiler, Davide Malagoli, András Serény, Torben Brodt
CLEF NewsREEL 2016: Comparing Multi-dimensional Offline and Online Evaluation of News Recommender Systems. CLEF (Working Notes) (2016)
Benjamin Kille, Andreas Lommatzsch, Roberto Turrin, András Serény, Martha A. Larson, Torben Brodt, Jonas Seiler, Frank Hopfgartner
Overview of CLEF NewsREEL 2015: News Recommendation Evaluation Lab. CLEF (Working Notes) (2015)
Benjamin Kille, Fabian Abel, Balázs Hidasi, Sahin Albayrak
Using Interaction Signals for Job Recommendations. MobiCASE (2015)
Benjamin Kille, Andreas Lommatzsch, Roberto Turrin, András Serény, Martha A. Larson, Torben Brodt, Jonas Seiler, Frank Hopfgartner
Stream-Based Recommendations: Online and Offline Evaluation as a Service. CLEF (2015)
Frank Hopfgartner, Benjamin Kille, Tobias Heintz, Roberto Turrin
Real-time Recommendation of Streamed Data. RecSys (2015)
Frank Hopfgartner, Torben Brodt, Jonas Seiler, Benjamin Kille, Andreas Lommatzsch, Martha A. Larson, Roberto Turrin, András Serény
Benchmarking News Recommendations: The CLEF NewsREEL Use Case. SIGIR Forum 49 (2) (2015)
Benjamin Kille
NEWSREEL 2014: Summary of the News Recommendation Evaluation Lab. CLEF (Working Notes) (2014)
Cagdas Esiyok, Benjamin Kille, Brijnesh Johannes Jain, Frank Hopfgartner, Sahin Albayrak
Users' reading habits in online news portals. IIiX (2014)
Frank Hopfgartner, Benjamin Kille, Andreas Lommatzsch, Till Plumbaum, Torben Brodt, Tobias Heintz
Benchmarking News Recommendations in a Living Lab. CLEF (2014)
Andreas Lommatzsch, Benjamin Kille, Sahin Albayrak
A framework for learning and analyzing hybrid recommenders based on heterogeneous semantic data. OAIR (2013)
Andreas Lommatzsch, Benjamin Kille, Jae Won Kim, Sahin Albayrak
An adaptive hybrid movie recommender based on semantic data. OAIR (2013)
Andreas Lommatzsch, Benjamin Kille, Sahin Albayrak
Learning hybrid recommender models for heterogeneous semantic data. SAC (2013)
Benjamin Kille
Evaluation of Cross-Domain News Article Recommendations. UMAP (2013)
Mozhgan Tavakolifard, Jon Atle Gulla, Kevin C. Almeroth, Frank Hopfgartner, Benjamin Kille, Till Plumbaum, Andreas Lommatzsch, Torben Brodt, Arthur Bucko, Tobias Heintz
Workshop and challenge on news recommender systems. RecSys (2013)
Alan Said, Alejandro Bellogín, Arjen P. de Vries, Benjamin Kille
Information Retrieval and User-Centric Recommender System Evaluation. UMAP Workshops (2013)
Nikos Manouselis, Alan Said, Domonkos Tikk, Jannis Hermanns, Benjamin Kille, Hendrik Drachsler, Katrien Verbert, Kris Jack
Recommender systems challenge 2012. RecSys (2012)
Benjamin Kille
Modeling Difficulty in Recommender Systems. RUE@RecSys (2012)
Alan Said, Ernesto William De Luca, Benjamin Kille, Brijnesh J. Jain, Immo Micus, Sahin Albayrak
KMulE: a framework for user-based comparison of recommender algorithms. IUI (2012)
Alan Said, Benjamin Kille, Ernesto William De Luca, Sahin Albayrak
Personalizing tags: a folksonomy-like approach for recommending movies. HetRec@RecSys (2011)