Agent technology for personalized information filtering: the PIA-system. - Sahin Albayrak; Stefan Wollny; Nicolas Varone; Andreas Lommatzsch; Dragan Milosevic (SAC, 2005)

Using multi-agent systems for learning optimal policies for complex problems. - Andreas Lommatzsch; Sahin Albayrak (ACM Southeast Regional Conference, 2007)

Assessing the value of unrated items in collaborative filtering. - Jérôme Kunegis; Andreas Lommatzsch; Martin Mehlitz; Sahin Albayrak (ICDIM, 2007)

Feed Distillation Using AdaBoost and Topic Maps. - Wai-Lung Lee; Andreas Lommatzsch; Christian Scheel (TREC, 2007)

Agent Technology for Personalized Information Filtering: The PIA System. - Sahin Albayrak; Stefan Wollny; Andreas Lommatzsch; Dragan Milosevic (Scalable Comput. Pract. Exp., 2007)

Alternative similarity functions for graph kernels. - Jérôme Kunegis; Andreas Lommatzsch; Christian Bauckhage (ICPR, 2008)

Learning spectral graph transformations for link prediction. - Jérôme Kunegis; Andreas Lommatzsch (ICML, 2009)

From Community towards Enterprise - A Taxonomy-based Search for Experts. - Gerald Eichler; Andreas Lommatzsch; Thomas Strecker; Danuta Ploch; Conny Strecker; Robert Wetzker (IICS, 2009)

The slashdot zoo: mining a social network with negative edges. - Jérôme Kunegis; Andreas Lommatzsch; Christian Bauckhage (WWW, 2009)

Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung. - Andreas Lommatzsch (2009)

Named Entity Disambiguation for German News Articles. - Andreas Lommatzsch; Danuta Ploch; Ernesto William De Luca; Sahin Albayrak (LWA, 2010)

Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization. - Jérôme Kunegis; Stephan Schmidt 001; Andreas Lommatzsch; Jürgen Lerner; Ernesto William De Luca; Sahin Albayrak (SDM, 2010)

An Architecture for Smart Semantic Recommender Applications. - Andreas Lommatzsch; Till Plumbaum; Sahin Albayrak (IICS, 2011)

Performance Measures for Multi-Graded Relevance. - Christian Scheel; Andreas Lommatzsch; Sahin Albayrak (SPIM, 2011)

SERUM: Collecting Semantic User Behavior for Improved News Recommendations. - Till Plumbaum; Andreas Lommatzsch; Ernesto William De Luca; Sahin Albayrak (UMAP Workshops, 2011)

Correlating perception-oriented aspects in user-centric recommender system evaluation. - Alan Said; Brijnesh J. Jain; Andreas Lommatzsch; Sahin Albayrak (IIiX, 2012)

Workshop and challenge on news recommender systems. - Mozhgan Tavakolifard; Jon Atle Gulla; Kevin C. Almeroth; Frank Hopfgartner; Benjamin Kille; Till Plumbaum; Andreas Lommatzsch; Torben Brodt; Arthur Bucko; Tobias Heintz (RecSys, 2013)

A framework for learning and analyzing hybrid recommenders based on heterogeneous semantic data. - Andreas Lommatzsch; Benjamin Kille; Sahin Albayrak (OAIR, 2013)

An adaptive hybrid movie recommender based on semantic data. - Andreas Lommatzsch; Benjamin Kille; Jae Won Kim; Sahin Albayrak (OAIR, 2013)

Learning hybrid recommender models for heterogeneous semantic data. - Andreas Lommatzsch; Benjamin Kille; Sahin Albayrak (SAC, 2013)

Benchmarking News Recommendations in a Living Lab. - Frank Hopfgartner; Benjamin Kille; Andreas Lommatzsch; Till Plumbaum; Torben Brodt; Tobias Heintz (CLEF, 2014)

Real-Time News Recommendation Using Context-Aware Ensembles. - Andreas Lommatzsch (ECIR, 2014)

An Extended Data Model Format for Composite Recommendation. - Alan Said; Babak Loni; Roberto Turrin; Andreas Lommatzsch (RecSys Posters, 2014)

News Visualization based on Semantic Knowledge. - Sebastian Arnold 001; Damian Burke; Tobias Dörsch; Bernd Löber; Andreas Lommatzsch (ISWC (Posters & Demos), 2014)

Stream-Based Recommendations: Online and Offline Evaluation as a Service. - Benjamin Kille; Andreas Lommatzsch; Roberto Turrin; András Serény; Martha A. Larson; Torben Brodt; Jonas Seiler; Frank Hopfgartner (CLEF, 2015)

Overview of CLEF NewsREEL 2015: News Recommendation Evaluation Lab. - Benjamin Kille; Andreas Lommatzsch; Roberto Turrin; András Serény; Martha A. Larson; Torben Brodt; Jonas Seiler; Frank Hopfgartner (CLEF (Working Notes), 2015)

Optimizing and Evaluating Stream-Based News Recommendation Algorithms. - Andreas Lommatzsch; Sebastian Werner 001 (CLEF, 2015)

Development and Evaluation of a Highly Scalable News Recommender System. - Ilya Verbitskiy; Patrick Probst; Andreas Lommatzsch (CLEF (Working Notes), 2015)

Real-time recommendations for user-item streams. - Andreas Lommatzsch; Sahin Albayrak (SAC, 2015)

Benchmarking News Recommendations: The CLEF NewsREEL Use Case. - Frank Hopfgartner; Torben Brodt; Jonas Seiler; Benjamin Kille; Andreas Lommatzsch; Martha A. Larson; Roberto Turrin; András Serény (SIGIR Forum, 2015)

An Advanced Press Review System Combining Deep News Analysis and Machine Learning Algorithms. - Danuta Ploch; Andreas Lommatzsch; Florian Schultze (ACL (System Demonstrations), 2016)

Development of a News Recommender System based on Apache Flink. - Alexandru Ciobanu; Andreas Lommatzsch (CLEF (Working Notes), 2016)

Real-time News Recommendations using Apache Spark. - Jaschar Domann; Jens Meiners; Lea Helmers; Andreas Lommatzsch (CLEF (Working Notes), 2016)

Overview of NewsREEL'16: Multi-dimensional Evaluation of Real-Time Stream-Recommendation Algorithms. - Benjamin Kille; Andreas Lommatzsch; Gebrekirstos G. Gebremeskel; Frank Hopfgartner; Martha A. Larson; Jonas Seiler; Davide Malagoli; András Serény; Torben Brodt; Arjen P. de Vries (CLEF, 2016)

CLEF NewsREEL 2016: Comparing Multi-dimensional Offline and Online Evaluation of News Recommender Systems. - Benjamin Kille; Andreas Lommatzsch; Frank Hopfgartner; Martha A. Larson; Jonas Seiler; Davide Malagoli; András Serény; Torben Brodt (CLEF (Working Notes), 2016)

Recommender Ensembles for News Articles based on Most-Popular Strategies. - Andreas Lommatzsch; Niels Johannes; Jens Meiners; Lea Helmers; Jaschar Domann (CLEF (Working Notes), 2016)

Optimizing a Scalable News Recommender System. - Patrick Probst; Andreas Lommatzsch (CLEF (Working Notes), 2016)

Clicks Pattern Analysis for Online News Recommendation Systems. - Jing Yuan; Andreas Lommatzsch; Benjamin Kille (CLEF (Working Notes), 2016)

Topic Tracking in News Streams Using Latent Factor Models. - Jens Meiners; Andreas Lommatzsch (I4CS, 2016)

Topical Video-On-Demand Recommendations based on Event Detection. - Tobias Dörsch; Andreas Lommatzsch (LWDA, 2016)

An Interactive e-Government Question Answering System. - Malte Schwarzer; Jonas Düver; Danuta Ploch; Andreas Lommatzsch (LWDA, 2016)

Algorithms Aside: Recommendation As The Lens Of Life. - Tamas Motajcsek; Jean-Yves Le Moine; Martha A. Larson; Daniel Kohlsdorf; Andreas Lommatzsch; Domonkos Tikk; Omar Alonso; Paolo Cremonesi; Andrew M. Demetriou; Kristaps Dobrajs; Franca Garzotto; Ayse Göker; et al. (RecSys, 2016)

Topical Semantic Recommendations for Auteur Films. - Christian Rakow; Andreas Lommatzsch; Till Plumbaum (RecSys, 2016)

Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms. - Mario Scriminaci; Andreas Lommatzsch; Benjamin Kille; Frank Hopfgartner; Martha A. Larson; Davide Malagoli; András Serény; Till Plumbaum (RecSys Posters, 2016)

Towards reproducibility in recommender-systems research. - Jöran Beel; Corinna Breitinger; Stefan Langer; Andreas Lommatzsch; Bela Gipp (User Model. User Adapt. Interact., 2016)

A System for Online News Recommendations in Real-Time with Apache Mahout. - Paul David Beck; Manuel Blaser; Adrian Michalke; Andreas Lommatzsch (CLEF (Working Notes), 2017)

A Highly Available Real-Time News Recommender Based on Apache Spark. - Jaschar Domann; Andreas Lommatzsch (CLEF, 2017)

CLEF 2017 NewsREEL Overview: Offline and Online Evaluation of Stream-based News Recommender Systems. - Benjamin Kille; Andreas Lommatzsch; Frank Hopfgartner; Martha A. Larson; Torben Brodt (CLEF (Working Notes), 2017)

CLEF 2017 NewsREEL Overview: A Stream-Based Recommender Task for Evaluation and Education. - Andreas Lommatzsch; Benjamin Kille; Frank Hopfgartner; Martha A. Larson; Torben Brodt; Jonas Seiler; Özlem Özgöbek (CLEF, 2017)

Towards the Automatic Sentiment Analysis of German News and Forum Documents. - Andreas Lommatzsch; Florian Bütow; Danuta Ploch; Sahin Albayrak (I4CS, 2017)

A Stream-based Resource for Multi-Dimensional Evaluation of Recommender Algorithms. - Benjamin Kille; Andreas Lommatzsch; Frank Hopfgartner; Martha A. Larson; Arjen P. de Vries (SIGIR, 2017)

Countering Contextual Bias in TV Watching Behavior: Introducing Social Trend as External Contextual Factor in TV Recommenders. - Felix Lorenz; Jing Yuan; Andreas Lommatzsch; Mu Mu 001; Nicholas J. P. Race; Frank Hopfgartner; Sahin Albayrak (TVX, 2017)

Incorporating context and trends in news recommender systems. - Andreas Lommatzsch; Benjamin Kille; Sahin Albayrak (WI, 2017)

Defining Contextual Factors for News Consumption. - Benjamin Kille; Özlem Özgöbek; Andreas Lommatzsch (CIKM Workshops, 2018)

6th International Workshop on News Recommendation and Analytics (INRA 2018). - Özlem Özgöbek; Benjamin Kille; Jon Atle Gulla; Martha A. Larson; Andreas Lommatzsch (CIKM Workshops, 2018)

A Next Generation Chatbot-Framework for the Public Administration. - Andreas Lommatzsch (I4CS, 2018)

Normalization of Timeseries for Improving Recommendations. - Alexandru Ciobanu; Asmaa Haja; Andreas Lommatzsch (LWDA, 2018)

Predicting the Interest in News Based on Image Annotations. - Alexandru Ciobanu; Andreas Lommatzsch; Benjamin Kille (MediaEval, 2018)

Baseline Algorithms for Predicting the Interest in News Based on Multimedia-Data. - Andreas Lommatzsch; Benjamin Kille (MediaEval, 2018)

NewsREEL Multimedia at MediaEval 2018: News Recommendation with Image and Text Content. - Andreas Lommatzsch; Benjamin Kille; Frank Hopfgartner; Leif Ramming (MediaEval, 2018)

Continuous Evaluation of Large-Scale Information Access Systems: A Case for Living Labs. - Frank Hopfgartner; Krisztian Balog; Andreas Lommatzsch; Liadh Kelly; Benjamin Kille; Anne Schuth; Martha A. Larson (Information Retrieval Evaluation in a Changing World, 2019)

A Framework for Analyzing News Images and Building Multimedia-Based Recommender. - Andreas Lommatzsch; Benjamin Kille; Kevin Styp-Rekowski; Max Karl; Jan Pommering (I4CS, 2019)

An Information Retrieval-based Approach for Building Intuitive Chatbots for Large Knowledge Bases. - Andreas Lommatzsch; Jonas Katins (LWDA, 2019)

The 2019 Multimedia for Recommender System Task: MovieREC and NewsREEL at MediaEval. - Yashar Deldjoo; Benny Kille; Markus Schedl; Andreas Lommatzsch; Jialie Shen 001 (MediaEval, 2019)

Defining a Meaningful Baseline for News Recommender Systems. - Benjamin Kille; Andreas Lommatzsch (INRA@RecSys, 2019)

The 7th international workshop on news recommendation and analytics (INRA 2019). - Özlem Özgöbek; Benjamin Kille; Jon Atle Gulla; Andreas Lommatzsch (RecSys, 2019)

News Images in MediaEval 2020. - Benjamin Kille; Andreas Lommatzsch; Özlem Özgöbek (MediaEval, 2020)

Methods for Text-Image-Rematching using Pair-wise Similarity and Canonical Similarity Analysis. - Kani Abdul; Kiran Kiran; Max Rudat; Alexandros Vasileiou 002; Andreas Lommatzsch (MediaEval, 2021)

News Images in MediaEval 2021. - Benjamin Kille; Andreas Lommatzsch; Özlem Özgöbek; Mehdi Elahi; Duc-Tien Dang-Nguyen (MediaEval, 2021)

Image-Text Rematching for News Items using Optimized Embeddings and CNNs in MediaEval NewsImages 2021. - Tom Sühr; Ajay Madhavanr; Nasim Jamshidi Avanaki; René Berk; Andreas Lommatzsch (MediaEval, 2021)

9th International Workshop on News Recommendation and Analytics. - Özlem Özgöbek; Andreas Lommatzsch; Benjamin Kille; Peng Liu 025; Zhixin Pu; Jon Atle Gulla (RecSys, 2021)

Guiding Users by Dynamically Generating Questions in a Chatbot System. - Jannis Pilgrim; Jakob Kemmler; Moritz Wassmer; Silvio Echsle; Andreas Lommatzsch (LWDA, 2022)

News Images in MediaEval 2022. - Benjamin Kille; Andreas Lommatzsch; Özlem Özgöbek; Mehdi Elahi; Duc-Tien Dang-Nguyen (MediaEval, 2022)

NewsImages: addressing the depiction gap with an online news dataset for text-image rematching. - Andreas Lommatzsch; Benjamin Kille; Özlem Özgöbek; Yuxiao Zhou 002; Jelena Tesic; Cláudio Bartolomeu; David Semedo; Lidia Pivovarova; Mingliang Liang; Martha A. Larson (MMSys, 2022)

The 10th International Workshop on News Recommendation and Analytics (INRA 2022). - Özlem Özgöbek; Andreas Lommatzsch; Benjamin Kille; Peng Liu 025; Jon Atle Gulla; Edward C. Malthouse (SIGIR, 2022)

Combining Information Retrieval and Large Language Models for a Chatbot that Generates Reliable, Natural-style Answers. - Andreas Lommatzsch; Brandon Llanque; Vinay Srinath Rosenberg; Syed Ali Murad Tahir; Hristo Dimitrov Boyadzhiev; Maurice Walny (LWDA, 2023)

The Relation between Texts and Images in News: News Images in MediaEval 2023. - Andreas Lommatzsch; Benjamin Kille; Özlem Özgöbek; Mehdi Elahi; Duc-Tien Dang-Nguyen (MediaEval, 2023)

The Eleventh International Workshop on News Recommendation and Analytics (INRA'23). - Benjamin Kille; Andreas Lommatzsch; Özlem Özgöbek; Peng Liu 025; Simen Eide; Lemei Zhang (RecSys, 2023)

When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion. - Jing Yuan; Christian Geißler; Weijia Shao; Andreas Lommatzsch; Brijnesh J. Jain (Int. J. Data Sci. Anal., 2023)

Report on the 11th International Workshop on News Recommendation and Analytics (INRA 2023) at ACM RecSys 2023. - Benjamin Kille; Andreas Lommatzsch; Özlem Özgöbek; Peng Liu 025; Lemei Zhang; Simen Eide (SIGIR Forum, 2023)

12th International Workshop on News Recommendation and Analytics (INRA'24). - Benjamin Kille; Andreas Lommatzsch; Célina Treuillier; Vandana Yadav; Özlem Özgöbek (RecSys, 2024)

Opinerium: Subjective Question Generation Using Large Language Models. - Pedram Babakhani; Andreas Lommatzsch; Torben Brodt; Doreen Sacker; Fikret Sivrikaya; Sahin Albayrak (IEEE Access, 2024)

Preface to the special issue on news personalization and analytics. - Benjamin Kille; Andreas Lommatzsch; Jürgen Ziegler 001; Özlem Özgöbek (User Model. User Adapt. Interact., 2024)