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Andreas Lommatzsch
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Books and Theses
- 2009
- [b1]Andreas Lommatzsch:
Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung. Berlin Institute of Technology, 2009
Journal Articles
- 2024
- [j6]Pedram Babakhani
, Andreas Lommatzsch, Torben Brodt
, Doreen Sacker, Fikret Sivrikaya
, Sahin Albayrak
:
Opinerium: Subjective Question Generation Using Large Language Models. IEEE Access 12: 66085-66099 (2024) - 2023
- [j5]Jing Yuan
, Christian Geißler
, Weijia Shao, Andreas Lommatzsch, Brijnesh J. Jain:
When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion. Int. J. Data Sci. Anal. 16(2): 173-189 (2023) - [j4]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): 15:1-15:4 (2023) - 2016
- [j3]Jöran Beel
, Corinna Breitinger
, Stefan Langer, Andreas Lommatzsch, Bela Gipp
:
Towards reproducibility in recommender-systems research. User Model. User Adapt. Interact. 26(1): 69-101 (2016) - 2015
- [j2]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): 129-136 (2015) - 2007
- [j1]Sahin Albayrak, Stefan Wollny, Andreas Lommatzsch, Dragan Milosevic:
Agent Technology for Personalized Information Filtering: The PIA System. Scalable Comput. Pract. Exp. 8(1) (2007)
Conference and Workshop Papers
- 2023
- [c74]Andreas Lommatzsch, Brandon Llanque, Vinay Srinath Rosenberg, Syed Ali Murad Tahir, Hristo Dimitrov Boyadzhiev, Maurice Walny:
Combining Information Retrieval and Large Language Models for a Chatbot that Generates Reliable, Natural-style Answers. LWDA 2023: 298-310 - [c73]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 - [c72]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: 1263-1266 - 2022
- [c71]Jannis Pilgrim, Jakob Kemmler, Moritz Wassmer, Silvio Echsle, Andreas Lommatzsch:
Guiding Users by Dynamically Generating Questions in a Chatbot System. LWDA 2022: 148-160 - [c70]Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen:
News Images in MediaEval 2022. MediaEval 2022 - [c69]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: 227-233 - [c68]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: 3470-3473 - 2021
- [c67]Kani Abdul, Kiran Kiran, Max Rudat, Alexandros Vasileiou, Andreas Lommatzsch:
Methods for Text-Image-Rematching using Pair-wise Similarity and Canonical Similarity Analysis. MediaEval 2021 - [c66]Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen:
News Images in MediaEval 2021. MediaEval 2021 - [c65]Tom Sühr, Ajay Madhavanr, Nasim Jamshidi Avanaki, René Berk, Andreas Lommatzsch:
Image-Text Rematching for News Items using Optimized Embeddings and CNNs in MediaEval NewsImages 2021. MediaEval 2021 - [c64]Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Zhixin Pu, Jon Atle Gulla:
9th International Workshop on News Recommendation and Analytics. RecSys 2021: 772-774 - 2020
- [c63]Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek:
News Images in MediaEval 2020. MediaEval 2020 - 2019
- [c62]Andreas Lommatzsch, Benjamin Kille, Kevin Styp-Rekowski, Max Karl, Jan Pommering:
A Framework for Analyzing News Images and Building Multimedia-Based Recommender. I4CS 2019: 184-201 - [c61]Andreas Lommatzsch, Jonas Katins:
An Information Retrieval-based Approach for Building Intuitive Chatbots for Large Knowledge Bases. LWDA 2019: 343-352 - [c60]Yashar Deldjoo, Benny Kille, Markus Schedl, Andreas Lommatzsch, Jialie Shen:
The 2019 Multimedia for Recommender System Task: MovieREC and NewsREEL at MediaEval. MediaEval 2019 - [c59]Benjamin Kille, Andreas Lommatzsch:
Defining a Meaningful Baseline for News Recommender Systems. INRA@RecSys 2019: 24-28 - [c58]Özlem Özgöbek, Benjamin Kille, Jon Atle Gulla, Andreas Lommatzsch:
The 7th international workshop on news recommendation and analytics (INRA 2019). RecSys 2019: 558-559 - 2018
- [c57]Benjamin Kille, Özlem Özgöbek, Andreas Lommatzsch:
Defining Contextual Factors for News Consumption. CIKM Workshops 2018 - [c56]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 - [c55]Andreas Lommatzsch:
A Next Generation Chatbot-Framework for the Public Administration. I4CS 2018: 127-141 - [c54]Alexandru Ciobanu, Asmaa Haja, Andreas Lommatzsch:
Normalization of Timeseries for Improving Recommendations. LWDA 2018: 84-92 - [c53]Alexandru Ciobanu, Andreas Lommatzsch, Benjamin Kille:
Predicting the Interest in News Based on Image Annotations. MediaEval 2018 - [c52]Andreas Lommatzsch, Benjamin Kille:
Baseline Algorithms for Predicting the Interest in News Based on Multimedia-Data. MediaEval 2018 - [c51]Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Leif Ramming:
NewsREEL Multimedia at MediaEval 2018: News Recommendation with Image and Text Content. MediaEval 2018 - 2017
- [c50]Paul David Beck, Manuel Blaser, Adrian Michalke, Andreas Lommatzsch:
A System for Online News Recommendations in Real-Time with Apache Mahout. CLEF (Working Notes) 2017 - [c49]Jaschar Domann, Andreas Lommatzsch:
A Highly Available Real-Time News Recommender Based on Apache Spark. CLEF 2017: 161-172 - [c48]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 - [c47]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: 239-254 - [c46]Andreas Lommatzsch, Florian Bütow, Danuta Ploch, Sahin Albayrak
:
Towards the Automatic Sentiment Analysis of German News and Forum Documents. I4CS 2017: 18-33 - [c45]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: 1257-1260 - [c44]Felix Lorenz, Jing Yuan, Andreas Lommatzsch, Mu Mu, Nicholas J. P. Race
, Frank Hopfgartner
, Sahin Albayrak
:
Countering Contextual Bias in TV Watching Behavior: Introducing Social Trend as External Contextual Factor in TV Recommenders. TVX 2017: 21-30 - [c43]Andreas Lommatzsch, Benjamin Kille, Sahin Albayrak
:
Incorporating context and trends in news recommender systems. WI 2017: 1062-1068 - 2016
- [c42]Danuta Ploch, Andreas Lommatzsch, Florian Schultze:
An Advanced Press Review System Combining Deep News Analysis and Machine Learning Algorithms. ACL (System Demonstrations) 2016: 109-114 - [c41]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: 311-331 - [c40]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: 593-605 - [c39]Alexandru Ciobanu, Andreas Lommatzsch:
Development of a News Recommender System based on Apache Flink. CLEF (Working Notes) 2016: 606-617 - [c38]Jaschar Domann, Jens Meiners, Lea Helmers, Andreas Lommatzsch:
Real-time News Recommendations using Apache Spark. CLEF (Working Notes) 2016: 628-641 - [c37]Andreas Lommatzsch, Niels Johannes, Jens Meiners, Lea Helmers, Jaschar Domann:
Recommender Ensembles for News Articles based on Most-Popular Strategies. CLEF (Working Notes) 2016: 657-668 - [c36]Patrick Probst, Andreas Lommatzsch:
Optimizing a Scalable News Recommender System. CLEF (Working Notes) 2016: 669-678 - [c35]Jing Yuan, Andreas Lommatzsch, Benjamin Kille:
Clicks Pattern Analysis for Online News Recommendation Systems. CLEF (Working Notes) 2016: 679-690 - [c34]Jens Meiners, Andreas Lommatzsch:
Topic Tracking in News Streams Using Latent Factor Models. I4CS 2016: 173-191 - [c33]Malte Schwarzer, Jonas Düver, Danuta Ploch, Andreas Lommatzsch:
An Interactive e-Government Question Answering System. LWDA 2016: 74-82 - [c32]Tobias Dörsch, Andreas Lommatzsch:
Topical Video-On-Demand Recommendations based on Event Detection. LWDA 2016: 186-193 - [c31]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, Frank Hopfgartner
, Davide Malagoli, Thuy Ngoc Nguyen, Jasminko Novak, Francesco Ricci, Mario Scriminaci, Marko Tkalcic
, Anna Zacchi:
Algorithms Aside: Recommendation As The Lens Of Life. RecSys 2016: 215-219 - [c30]Christian Rakow, Andreas Lommatzsch, Till Plumbaum:
Topical Semantic Recommendations for Auteur Films. RecSys 2016: 403-404 - [c29]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 - 2015
- [c28]Andreas Lommatzsch, Sebastian Werner
:
Optimizing and Evaluating Stream-Based News Recommendation Algorithms. CLEF 2015: 376-388 - [c27]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: 497-517 - [c26]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 - [c25]Ilya Verbitskiy, Patrick Probst, Andreas Lommatzsch:
Development and Evaluation of a Highly Scalable News Recommender System. CLEF (Working Notes) 2015 - [c24]Andreas Lommatzsch, Sahin Albayrak
:
Real-time recommendations for user-item streams. SAC 2015: 1039-1046 - 2014
- [c23]Frank Hopfgartner
, Benjamin Kille
, Andreas Lommatzsch, Till Plumbaum, Torben Brodt, Tobias Heintz:
Benchmarking News Recommendations in a Living Lab. CLEF 2014: 250-267 - [c22]Sebastian Werner, Andreas Lommatzsch:
Optimizing and Evaluating Stream-based News Recommendation Algorithms. CLEF (Working Notes) 2014: 813-824 - [c21]Andreas Lommatzsch:
Real-Time News Recommendation Using Context-Aware Ensembles. ECIR 2014: 51-62 - [c20]Alan Said, Babak Loni, Roberto Turrin, Andreas Lommatzsch:
An Extended Data Model Format for Composite Recommendation. RecSys Posters 2014 - [c19]Sebastian Arnold, Damian Burke, Tobias Dörsch, Bernd Löber, Andreas Lommatzsch:
News Visualization based on Semantic Knowledge. ISWC (Posters & Demos) 2014: 5-8 - 2013
- [c18]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: 481-482 - [c17]Andreas Lommatzsch, Benjamin Kille, Sahin Albayrak:
A framework for learning and analyzing hybrid recommenders based on heterogeneous semantic data. OAIR 2013: 137-140 - [c16]Andreas Lommatzsch, Benjamin Kille, Jae Won Kim, Sahin Albayrak:
An adaptive hybrid movie recommender based on semantic data. OAIR 2013: 217-218 - [c15]Andreas Lommatzsch, Benjamin Kille
, Sahin Albayrak
:
Learning hybrid recommender models for heterogeneous semantic data. SAC 2013: 275-276 - 2012
- [c14]Alan Said
, Brijnesh J. Jain, Andreas Lommatzsch, Sahin Albayrak
:
Correlating perception-oriented aspects in user-centric recommender system evaluation. IIiX 2012: 294-297 - 2011
- [c13]Andreas Lommatzsch, Till Plumbaum, Sahin Albayrak:
An Architecture for Smart Semantic Recommender Applications. IICS 2011: 105-114 - [c12]Christian Scheel, Andreas Lommatzsch, Sahin Albayrak:
Performance Measures for Multi-Graded Relevance. SPIM 2011: 54-65 - [c11]Till Plumbaum, Andreas Lommatzsch, Ernesto William De Luca
, Sahin Albayrak
:
SERUM: Collecting Semantic User Behavior for Improved News Recommendations. UMAP Workshops 2011: 402-405 - 2010
- [c10]Andreas Lommatzsch, Danuta Ploch, Ernesto William De Luca, Sahin Albayrak:
Named Entity Disambiguation for German News Articles. LWA 2010: 209-212 - [c9]Jérôme Kunegis, Stephan Schmidt, Andreas Lommatzsch, Jürgen Lerner, Ernesto William De Luca, Sahin Albayrak
:
Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization. SDM 2010: 559-570 - 2009
- [c8]Jérôme Kunegis, Andreas Lommatzsch:
Learning spectral graph transformations for link prediction. ICML 2009: 561-568 - [c7]Gerald Eichler, Andreas Lommatzsch, Thomas Strecker, Danuta Ploch, Conny Strecker, Robert Wetzker:
From Community towards Enterprise - A Taxonomy-based Search for Experts. IICS 2009: 183-193 - [c6]Jérôme Kunegis, Andreas Lommatzsch, Christian Bauckhage
:
The slashdot zoo: mining a social network with negative edges. WWW 2009: 741-750 - 2008
- [c5]Jérôme Kunegis, Andreas Lommatzsch, Christian Bauckhage:
Alternative similarity functions for graph kernels. ICPR 2008: 1-4 - 2007
- [c4]Andreas Lommatzsch, Sahin Albayrak:
Using multi-agent systems for learning optimal policies for complex problems. ACM Southeast Regional Conference 2007: 244-249 - [c3]Jérôme Kunegis, Andreas Lommatzsch, Martin Mehlitz, Sahin Albayrak:
Assessing the value of unrated items in collaborative filtering. ICDIM 2007: 212-216 - [c2]Wai-Lung Lee, Andreas Lommatzsch, Christian Scheel:
Feed Distillation Using AdaBoost and Topic Maps. TREC 2007 - 2005
- [c1]Sahin Albayrak, Stefan Wollny, Nicolas Varone, Andreas Lommatzsch, Dragan Milosevic:
Agent technology for personalized information filtering: the PIA-system. SAC 2005: 54-59
Parts in Books or Collections
- 2019
- [p1]Frank Hopfgartner
, Krisztian Balog, Andreas Lommatzsch, Liadh Kelly, Benjamin Kille, Anne Schuth, Martha A. Larson:
Continuous Evaluation of Large-Scale Information Access Systems: A Case for Living Labs. Information Retrieval Evaluation in a Changing World 2019: 511-543
Editorship
- 2024
- [e7]Steven Hicks, Andreas Lommatzsch, Ali Hürriyetoglu, Romain Vuillemot, Mihai Gabriel Constantin, Vajira Thambawita, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2023 Workshop, Amsterdam, The Netherlands and Online, 1-2 February 2024. CEUR Workshop Proceedings 3658, CEUR-WS.org 2024 [contents] - 2023
- [e6]Steven Hicks, Alba García Seco de Herrera, Johannes Langguth, Andreas Lommatzsch, Stelios Andreadis, Minh-Son Dao, Pierre-Etienne Martin, Ali Hürriyetoglu, Vajira Thambawita, Tor-Arne S. Nordmo, Romain Vuillemot, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2022 Workshop, Bergen, Norway and Online, 12-13 January 2023. CEUR Workshop Proceedings 3583, CEUR-WS.org 2023 [contents] - [e5]Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Edward C. Malthouse, Jon Atle Gulla, Anett Hoppe, Ran Yu, Jiqun Liu:
Joint Proceedings of the 10th International Workshop on News Recommendation and Analytics (INRA 2022) and the 3rd International Workshop on Investigating Learning During Web Search (IWILDS 2022) co-located with 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022), Madrid, Spain, July 15, 2022. CEUR Workshop Proceedings 3411, CEUR-WS.org 2023 [contents] - 2022
- [e4]Steven Hicks, Konstantin Pogorelov, Andreas Lommatzsch, Alba García Seco de Herrera, Pierre-Etienne Martin, Syed Zohaib Hassan, Alastair Porter, Asem Kasem, Stelios Andreadis, Mathias Lux, Marc Gallofré Ocaña, Alex Liu, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2021 Workshop, Online, 13-15 December 2021. CEUR Workshop Proceedings 3181, CEUR-WS.org 2022 [contents] - [e3]Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Zhixin Pu, Jon Atle Gulla:
Proceedings of the 9th International Workshop on News Recommendation and Analytics (INRA 2021) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), Amsterdam, Netherlands, September 27, 2021. CEUR Workshop Proceedings 3143, CEUR-WS.org 2022 [contents] - 2020
- [e2]Irena Koprinska
, Michael Kamp
, Annalisa Appice
, Corrado Loglisci
, Luiza Antonie
, Albrecht Zimmermann
, Riccardo Guidotti
, Özlem Özgöbek, Rita P. Ribeiro
, Ricard Gavaldà
, João Gama
, Linara Adilova, Yamuna Krishnamurthy
, Pedro M. Ferreira
, Donato Malerba
, Ibéria Medeiros
, Michelangelo Ceci
, Giuseppe Manco
, Elio Masciari
, Zbigniew W. Ras
, Peter Christen
, Eirini Ntoutsi, Erich Schubert
, Arthur Zimek
, Anna Monreale
, Przemyslaw Biecek
, Salvatore Rinzivillo
, Benjamin Kille
, Andreas Lommatzsch, Jon Atle Gulla:
ECML PKDD 2020 Workshops - Workshops of the European Conference on Machine Learning and Knowledge Discovery in Databases (ECML PKDD 2020): SoGood 2020, PDFL 2020, MLCS 2020, NFMCP 2020, DINA 2020, EDML 2020, XKDD 2020 and INRA 2020, Ghent, Belgium, September 14-18, 2020, Proceedings. Communications in Computer and Information Science 1323, Springer 2020, ISBN 978-3-030-65964-6 [contents] - [e1]Özlem Özgöbek, Benjamin Kille, Jon Atle Gulla, Andreas Lommatzsch:
Proceedings of the 7th International Workshop on News Recommendation and Analytics in conjunction with 13th ACM Conference on Recommender Systems, INRA@RecSys 2019, Copenhagen, Denmark, September 20, 2019. CEUR Workshop Proceedings 2554, CEUR-WS.org 2020 [contents]
Informal and Other Publications
- 2017
- [i1]Jérôme Kunegis, Andreas Lommatzsch, Christian Bauckhage:
The Slashdot Zoo: Mining a Social Network with Negative Edges. CoRR abs/1710.11395 (2017)
Coauthor Index
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