Andreas Lommatzsch

2024

Enhancing Data Accessibility: Integrating Speech-Based Interfaces with Large Language Models for Intuitive Database Queries

Autoren: Abdullah Kiwan, Andreas Lommatzsch, Sahin Albayrak

Opinerium: Subjective Question Generation using Large Language Models

Autoren: Pedram Babakhani, Andreas Lommatzsch, Torben Brodt, Doreen Sacker, Fikret Sivrikaya, Sahin Albayrak

Report on the 11th International Workshop on News Recommendation and Analytics (INRA 2023) at ACM RecSys 2023

Autoren: Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Simen Eide

2023

News Images in MediaEval 2022

Autoren: Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen

The 11th International Workshop on News Recommendation and Analytics 2023

Autoren: Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Lemei Zhang, Simen Eide

The Eleventh International Workshop on News Recommendation and Analytics (INRA2023)

Autoren: Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Peng Liu, Simen Eide, Lemei Zhang

Combining Information Retrieval and Large Language Models for a Chatbot that Generates Reliable, Natural-style Answers

Autoren: Andreas Lommatzsch, Brandon Llanque, Vinay Srinath Rosenberg, Syed Ali Murad Tahir, Hristo Dimitrov Boyadzhiev, Maurice Walny

2022

Guiding Users by Dynamically Generating Questions in a Chatbot System

Autoren: Jannis Pilgrim, Jakob Kemmler, Moritz Wassmer, Silvio Echsle, Andreas Lommatzsch

The 10th International Workshop on News Recommendation and Analytics (INRA 2022)

Autoren: Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Jon Atle Gulla, Edward C. Malthouse

NewsImages: Addressing the Depiction Gap with an Online News Dataset for Text-Image Rematching

Autoren: Andreas Lommatzsch, Benjamin Kille, Özlem Özgöbek, Mingliang Liang, Yuxiao Zhou, Jelena Tesic, Cláudio Bartolomeu, David Semedo, Lidia Pivovarova, Martha Larson

2021

Methods for Text-Image-Rematching using Pair-wise Similarity and Canonical Similarity Analysis

Autoren: Kani Abdul, Kiran Kiran, Max Rudat, Alexandros Vasileiou, Andreas Lommatzsch

News Images in MediaEval 2021

Autoren: Benjamin Kille, Andreas Lommatzsch, Özlem Özgöbek, Mehdi Elahi, Duc-Tien Dang-Nguyen

9th International Workshop on News Recommendation and Analytics

Autoren: Özlem Özgöbek, Andreas Lommatzsch, Benjamin Kille, Peng Liu, Zhixin Pu, Jon Atle Gulla

Image-Text Rematching for News Items using Optimized Embeddings and CNNs in MediaEval NewsImages 2021

Autoren: Tom Sühr, Ajay Madhavanr, Nasim Jamshidi Avanaki, René Berk, Andreas Lommatzsch

2020

When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion

Autoren: Christian Geißler, Weijia Shao, Andreas Lommatzsch, Jing Yuan, Jain Brijnesh

Are You Human – Adapting and Evaluating the Bot Interaction Patterns Towards the UserExpectation

Autoren: Andreas Lommatzsch, Danuta Ploch, Benjamin Kille

2019

7th International Workshop on News Recommendation and Analytics (INRA 2019)

Autoren: Özlem Özgöbek, Benjamin Kille, Jon Atle Gulla, Andreas Lommatzsch

Defining a Meaningful Baseline for News Recommender Systems

Autoren: Benjamin Kille, Andreas Lommatzsch

An Information Retrieval-based Approach for Building Intuitive Chatbots for Large Knowledge Bases

Autoren: Andreas Lommatzsch, Jonas Katins

A Framework for Analyzing News Images and Building Multimedia-based Recommenders

Autoren: Andreas Lommatzsch, Benjamin Kille, Kevin Styp-Rekowski, Max Karl, Jan Pommering

Continuous Evaluation of Large-scale Information Access Systems: A Case for Living Labs

Autoren: Frank Hopfgartner, Krisztian Balog, Andreas Lommatzsch, Liadh Kelly, Benjamin Kille, Anne Schuth, Martha Larson

2018

Baseline Algorithms for Predicting the Interest in News based on Multimedia-Data

Autoren: Andreas Lommatzsch, Benjamin Kille

MediaEval 2018 – Overview on NewsREEL Multimedia

Autoren: Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Leif Ramming

2017

A Stream-based Resource for Multi-Dimensional Evaluation of Recommender Algorithms

Autoren: Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha Larson, Arjen P. de Vries

Incorporating Context and Trends in News Recommender Systems

Autoren: Andreas Lommatzsch, Benjamin Kille, Sahin Albayrak

A System for Online News Recommendations in Real-Time with Apache Mahout

Autoren: Paul Beck, Manuel Blaser, Adrian Michalke, Andreas Lommatzsch

CLEF 2017 NewsREEL Overview: A Stream-based Recommender Task for Evaluation and Education

Autoren: Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Martha Larson, Özlem Özgöbek, Torben Brodt, Jonas Seiler

CLEF NewsREEL 2017: Comparing Multi-dimensional Offline and Online Evaluation of News Recommender Systems

Autoren: Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha Larson, Torben Brodt

A Highly Available Real-time News Recommender based on Apache Spark

Autoren: Jaschar Domann, Andreas Lommatzsch

Entwicklung eines Systems zur Verwaltung und Online-Evaluation von Point-Of-Interest Empfehlungsalgorithmen

Autoren: Jan Marco Jänicke, Benjamin Kille, Andreas Lommatzsch

Towards the Automatic Sentiment Analysis of German News and Forum Documents

Autoren: Andreas Lommatzsch, Florian Bütow, Danuta Ploch, Sahin Albayrak

Countering Contextual Bias in TV Watching Behavior: Introducing Social Trend as External Contextual Factor in TV Recommenders

Autoren: Felix Lorenz, Jing Yuan, Andreas Lommatzsch, Mu Mu, Nicholas Race, Frank Hopfgartner, Sahin Albayrak

2016

CLEF NewsREEL 2016: Comparing Multi-dimensional Offline and Online Evaluation of News Recommender Systems

Autoren: Benjamin Kille, Andreas Lommatzsch, Frank Hopfgartner, Martha Larson, Jonas Seiler, Davide Malagoli, Andras Sereny, Torben Brodt

Real-time News Recommendations using Apache Spark

Autoren: Jaschar Domann, Jens Meiners, Lea Helmers, Andreas Lommatzsch

Development of a News Recommender System based on Apache Flink

Autoren: Alexandru Ciobanu, Andreas Lommatzsch

Clicks Pattern Analysis for Online News Recommendation Systems

Autoren: Jing Yuan, Andreas Lommatzsch, Benjamin Kille

Development and Evaluation of a Scalable News Recommender System

Autoren: Patrick Probst, Andreas Lommatzsch

Topical Semantic Recommendations for Auteur Films

Autoren: Christian Rakow, Andreas Lommatzsch, Till Plumbaum

Overview of NewsREEL’16: Multi-dimensional Evaluation of Real-Time Stream-Recommendation Algorithms

Autoren: Benjamin Kille, Andreas Lommatzsch, Gebrekirstos Gebremeskel, Frank Hopfgartner, Martha Larson, Jonas Seiler, Davide Malagoli, Andras Sereny, Torben Brodt, Arjen de Vries

Applying Topic Model in Context-Aware TV Programs Recommendation

Autoren: Jing Yuan, Andreas Lommatzsch, Mu Mu

Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms

Autoren: Mario Scriminaci, Andreas Lommatzsch, Benjamin Kille, Frank Hopfgartner, Martha Larson, Davide Malagoli, Andras Sereny

Topical Video-On-Demand Recommendations based on Event Detection

Autoren: Tobias Dörsch, Andreas Lommatzsch, Christian Rakow

Algorithms Aside: Recommendation as the Lens of Life

Autoren: Tamas Motajcsek, Jean-Yves Le Moine, Paolo Cremonesi, Kristaps Dobrajs, Frank Hopfgartner, Franca Garzotto, Ay?e Göker, Daniel Kohlsdorf, Andrew Demetriou, Martha Larson, Andreas Lommatzsch, Davide Malagoli, Ngoc Nguyen Thuy, Jasminko Novak

An Interactive e-Government Question Answering System

Autoren: Malte Schwarzer, Jonas Düver, Danuta Ploch, Andreas Lommatzsch

The News Recommendation Evaluation Lab – Online evaluation of recommender systems

Autor: Andreas Lommatzsch

Contextual Factors Involvement for Score Modeling under LambdaRank in Recommender Systems

Autoren: Jing Yuan, Andreas Lommatzsch, Sahin Albayrak

Recommender Ensembles for News Articles based on Most-Popular Strategies

Autoren: Andreas Lommatzsch, Niels Johannes, Jens Meiners, Lea Helmers, Jaschar Domann

An Advanced Press Review System Combining Deep News Analysis and Machine Learning Algorithms

Autoren: Danuta Ploch, Andreas Lommatzsch, Florian Schultze

Topic Tracking in News Streams using Latent Factor Models

Autoren: Jens Meiners, Andreas Lommatzsch

Get on with it! – Recommender system industry challenges move towards real-world, online evaluation

Autoren: Andreas Lommatzsch, Jonas Seiler, Daniel Kohlsdorf

Benchmarking News Recommendations: The CLEF NewsREEL Use Case

Autoren: Frank Hopfgartner, Torben Brodt, Jonas Seiler, Benjamin Kille, Andreas Lommatzsch, Martha Larson, Roberto Turrin, Andras Sereny

Towards reproducibility in recommender-systems research

Autoren: Joeran Beel, Corinna Breitinger, Stefan Langer, Andreas Lommatzsch, Bela Gipp

2015

Context-aware LDA: Balancing Relevance and Diversity in TV Content Recommenders

Autoren: Jing Yuan, Fikret Sivrikaya, Frank Hopfgartner, Andreas Lommatzsch, Mu Mu

Real-time Recommendations for User-Item Streams

Autoren: Andreas Lommatzsch, Sahin Albayrak

Optimizing and Evaluating Stream-based News Recommendation Algorithms

Autoren: Andreas Lommatzsch, Sebastian Werner

Stream-Based Recommendations: Online and Offline Evaluation as a Service

Autoren: Benjamin Kille, Andreas Lommatzsch, Roberto Turrin, Andras Sereny, Martha Larson, Torben Brodt, Jonas Seiler, Frank Hopfgartner

Personalized Information Access Using Semantic Knowledge

Autoren: Till Plumbaum, Andreas Lommatzsch

Development and Evaluation of a Highly Scalable News Recommender System

Autoren: Ilya Verbitskiy, Patrick Probst, Andreas Lommatzsch

Predicting GEMS Based on PDA-Assessed Gestural Motion Data

Autoren: Melanie Irrgang, Hauke Egermann, Esra Acar Celik, Andreas Lommatzsch

Overview of CLEF NewsREEL 2015: News Recommendation Evaluation Lab

Autoren: Benjamin Kille, Andreas Lommatzsch, Roberto Turrin, Andras Sereny, Martha Larson, Torben Brodt, Jonas Seiler, Frank Hopfgartner

Sentiment Analysis with Machine Learning Algorithms on German News Articles

Autoren: Florian Bütow, Florian Schultze, Leopold Strauch, Danuta Ploch, Andreas Lommatzsch

News Recommendation in Real-Time

Autoren: Benjamin Kille, Andreas Lommatzsch, Torben Brodt

2014

An Extended Data Model Format for Composite Recommendation

Autoren: Alan Said, Babak Loni, Roberto Turrin, Andreas Lommatzsch

An analysis of the 2014 RecSys Challenge

Autoren: Daniele Loiacono, Andreas Lommatzsch, Roberto Turrin

Optimizing and Evaluating Stream-based News Recommendation Algorithms

Autoren: Sebastian Werner, Andreas Lommatzsch

Overview of CLEF NEWSREEL 2014: News Recommendations Evaluation Labs

Autoren: Benjamin Kille, Torben Brodt, Tobias Heintz, Frank Hopfgartner, Andreas Lommatzsch, Jonas Seiler

Benchmarking News Recommendations in a Living Lab

Autoren: Frank Hopfgartner, Benjamin Kille, Andreas Lommatzsch, Till Plumbaum, Torben Brodt, Tobias Heintz

News Visualization based on Semantic Knowledge

Autoren: Sebastian Arnold, Damian Burke, Tobias Dörsch, Bernd Loeber, Andreas Lommatzsch

Comparative Evaluation of Recommendation Systems for Digital Media

Autoren: Domonkos Tikk, Roberto Turrin, Martha Larson, David Zibriczky, Davide Malagoli, Alan Said, Andreas Lommatzsch, Sandor Szeely

Real-Time News Recommendations using Context-aware Ensembles

Autoren: Andreas Lommatzsch, Sahin Albayrak

2013

An Adaptive Hybrid Movie Recommender based on Semantic Data

Autoren: Andreas Lommatzsch, Benjamin Kille, Jae Won Kim, Sahin Albayrak

A Framework for Learning and Analyzing Hybrid Recommenders based on Heterogeneous Semantic Data

Autoren: Andreas Lommatzsch, Benjamin Kille, Sahin Albayrak

Learning Hybrid Recommender Models for Heterogeneous Semantic Data

Autoren: Andreas Lommatzsch, Benjamin Kille, Sahin Albayrak

An Agent-based Movie Recommender System Combining the Results Computed based on Heterogeneous Semantic Datasets

Autoren: Andreas Lommatzsch, Benjamin Kille, Sahin Albayrak

Workshop and Challenge on News Recommender Systems

Autoren: Mozhgan Tavakolifard, Jon Atle Gulla, Kevin C. Almeroth, Frank Hopfgartner, Benjamin Kille, Till Plumbaum, Andreas Lommatzsch, Torben Brodt, Arthur Bucko, Tobias Heintz

International News Recommender Systems Workshop and Challenge (NRS)

Autoren: Jon Atle Gulla, Kevin C. Almeroth, Mozhgan Tavakolifard, Frank Hopfgartner, Till Plumbaum, Benjamin Kille, Andreas Lommatzsch, Torben Brodt, Arthur Bucko, Tobias Heintz

2012

Correlating Perception-Oriented Aspects in User-Centric Recommender System Evaluation

Autoren: Alan Said, Brijnesh Jain, Andreas Lommatzsch, Sahin Albayrak

SERUM: Collecting Semantic User Behavior for Improved News Recommendations

Autoren: Till Plumbaum, Andreas Lommatzsch, Ernesto William De Luca, Sahin Albayrak

2011

A linked dataverse knows better: Boosting recommendation quality using semantic knowledge

Autoren: Andreas Lommatzsch, Till Plumbaum, Sahin Albayrak

Performance Measures for Multi-Graded Relevance

Autoren: Christian Scheel, Andreas Lommatzsch, Sahin Albayrak

Pattern Recognition and Classification for Multivariate Time Series

Autoren: Stephan Spiegel, Julia Gäbler, Andreas Lommatzsch, Ernesto William De Luca, Sahin Albayrak

Whitepaper Semantic Engine

Autoren: Andreas Lommatzsch, Jérôme Kunegis, Torsten Schmidt, Stefan Marx

An Architecture for Smart Semantic Recommender Applications

Autoren: Andreas Lommatzsch, Till Plumbaum, Sahin Albayrak

SERUM: Collecting Semantic User Behavior for Improved News Recommendations

Autoren: Till Plumbaum, Andreas Lommatzsch, Ernesto William De Luca, Sahin Albayrak

2010

Einsatz von intelligenten Agenten-Ensembles im Produktentstehungsprozess: Automatisches Zuordnen von Bauteilen zu Montagezonen bei der Prototypenmontage

Autoren: Andreas Lommatzsch, Till Plumbaum, Christian Sauer, Sahin Albayrak

Spectral Analysis of Signed Graphs for Clustering, Prediction and Visualization

Autoren: Jérôme Kunegis, Stephan Schmidt, Andreas Lommatzsch, Jürgen Lerner, Ernesto William De Luca, Sahin Albayrak

Named Entity Disambiguation for German News Articles

Autoren: Andreas Lommatzsch, Danuta Ploch, Ernesto William De Luca, Sahin Albayrak

Adaptive Music News Recommendations based on Large Semantic Datasets

Autoren: Till Plumbaum, Andreas Lommatzsch, Stefan Rudnitzki, Ernesto William De Luca, Holger Düwiger, Sahin Albayrak

2009

Eine offene Architektur für die agentenbasierte, adaptive, personalisierte Informationsfilterung

Autor: Andreas Lommatzsch

Profile-based Recommendation of and by Domain Experts supporting web 2.0 Community Paradigms

Autoren: Gerald Eichler, Andreas Lommatzsch

From Community towards Enterprise – a taxonomy-based search for experts

Autoren: Gerald Eichler, Andreas Lommatzsch, Thomas Strecker, Danuta Ploch, Conny Strecker, Robert Wetzker

Learning Spectral Graph Transformations for Link Prediction

Autoren: Jérôme Kunegis, Andreas Lommatzsch

The Slashdot Zoo: Mining a Social Network with Negative Edges

Autoren: Jérôme Kunegis, Andreas Lommatzsch, Christian Bauckhage

2008

Alternative Similarity Functions for Graph Kernels

Autoren: Jérôme Kunegis, Andreas Lommatzsch, Christian Bauckhage

On the Scalability of Graph Kernels Applied to Collaborative Recommenders

Autoren: Jérôme Kunegis, Andreas Lommatzsch, Sahin Albayrak, Christian Bauckhage

Feed Distillation Using AdaBoost and Topic Maps

Autoren: Wai-Lung Lee, Andreas Lommatzsch, Christian Scheel

2007

Efficient Query Delegation by Detecting Redundant Retrieval Strategies

Autoren: Christian Scheel, Nicolas Neubauer, Andreas Lommatzsch, Klaus Obermayer, Sahin Albayrak

Using Multi-Agent Systems for Learning optimal Policies for complex Problems

Autoren: Andreas Lommatzsch, Sahin Albayrak

Assessing the Value of Unrated Items in Collaborative Filtering

Autoren: Jérôme Kunegis, Andreas Lommatzsch, Martin Mehlitz

Agent Technology for Personalized Information Filtering: The PIA System

Autoren: Sahin Albayrak, Stefan Wollny, Andreas Lommatzsch, Dragan Milosevic

A Multi-Agent Framework for Personalized Information Filtering

Autoren: Andreas Lommatzsch, Martin Mehlitz, Jérôme Kunegis

Agent Technology for Personalized Information Filtering: The PIA-System

Autoren: Sahin Albayrak, Stefan Wollny, Andreas Lommatzsch, Dragan Milosevic

2006

Ein gradualisiertes Communitymodell zur Bildung wissenschaftlicher Gemeinschaften

Autoren: Michael Hahne, Corinna Jung, Jérôme Kunegis, Andreas Lommatzsch, André Paus

2005

Agent Technology for Personalized Information Filtering: The PIA-System

Autoren: Sahin Albayrak, Stefan Wollny, Nicolas Varone, Andreas Lommatzsch, Dragan Milosevic

Dr.-Ing. Andreas Lommatzsch

Forschungsschwerpunkte

Publikationen

2024

12th International Workshop on News Recommendation and Analytics (INRA24)

Special issue on News Personalization and Analytics (pp. 921-1085)

Enhancing Data Accessibility: Integrating Speech-Based Interfaces with Large Language Models for Intuitive Database Queries

Opinerium: Subjective Question Generation using Large Language Models

Report on the 11th International Workshop on News Recommendation and Analytics (INRA 2023) at ACM RecSys 2023

2023

News Images in MediaEval 2022

The 11th International Workshop on News Recommendation and Analytics 2023

The Eleventh International Workshop on News Recommendation and Analytics (INRA2023)

Combining Information Retrieval and Large Language Models for a Chatbot that Generates Reliable, Natural-style Answers

2022

Guiding Users by Dynamically Generating Questions in a Chatbot System

The 10th International Workshop on News Recommendation and Analytics (INRA 2022)

NewsImages: Addressing the Depiction Gap with an Online News Dataset for Text-Image Rematching

2021

Methods for Text-Image-Rematching using Pair-wise Similarity and Canonical Similarity Analysis

News Images in MediaEval 2021

9th International Workshop on News Recommendation and Analytics

Image-Text Rematching for News Items using Optimized Embeddings and CNNs in MediaEval NewsImages 2021

2020

When algorithm selection meets Bi-linear Learning to Rank: accuracy and inference time trade off with candidates expansion

Are You Human – Adapting and Evaluating the Bot Interaction Patterns Towards the UserExpectation

2019

7th International Workshop on News Recommendation and Analytics (INRA 2019)

Defining a Meaningful Baseline for News Recommender Systems

An Information Retrieval-based Approach for Building Intuitive Chatbots for Large Knowledge Bases

A Framework for Analyzing News Images and Building Multimedia-based Recommenders

Continuous Evaluation of Large-scale Information Access Systems: A Case for Living Labs

2018

Defining Contextual Factors for News Consumption

A Next Generation Chatbot-Framework for the Public Administration

Normalization of Timeseries for Improving Recommendations

Predicting the Interest in News based On Image Annotations

Baseline Algorithms for Predicting the Interest in News based on Multimedia-Data

MediaEval 2018 – Overview on NewsREEL Multimedia

2017

A Stream-based Resource for Multi-Dimensional Evaluation of Recommender Algorithms

Incorporating Context and Trends in News Recommender Systems

A System for Online News Recommendations in Real-Time with Apache Mahout

CLEF 2017 NewsREEL Overview: A Stream-based Recommender Task for Evaluation and Education

CLEF NewsREEL 2017: Comparing Multi-dimensional Offline and Online Evaluation of News Recommender Systems

A Highly Available Real-time News Recommender based on Apache Spark

Entwicklung eines Systems zur Verwaltung und Online-Evaluation von Point-Of-Interest Empfehlungsalgorithmen

Towards the Automatic Sentiment Analysis of German News and Forum Documents

Countering Contextual Bias in TV Watching Behavior: Introducing Social Trend as External Contextual Factor in TV Recommenders

2016

CLEF NewsREEL 2016: Comparing Multi-dimensional Offline and Online Evaluation of News Recommender Systems

Real-time News Recommendations using Apache Spark

Development of a News Recommender System based on Apache Flink

Clicks Pattern Analysis for Online News Recommendation Systems

Development and Evaluation of a Scalable News Recommender System

Topical Semantic Recommendations for Auteur Films

Overview of NewsREEL’16: Multi-dimensional Evaluation of Real-Time Stream-Recommendation Algorithms

Applying Topic Model in Context-Aware TV Programs Recommendation

Idomaar: A Framework for Multi-dimensional Benchmarking of Recommender Algorithms

Topical Video-On-Demand Recommendations based on Event Detection

Algorithms Aside: Recommendation as the Lens of Life

An Interactive e-Government Question Answering System

The News Recommendation Evaluation Lab – Online evaluation of recommender systems

Contextual Factors Involvement for Score Modeling under LambdaRank in Recommender Systems

Recommender Ensembles for News Articles based on Most-Popular Strategies

An Advanced Press Review System Combining Deep News Analysis and Machine Learning Algorithms

Topic Tracking in News Streams using Latent Factor Models

Get on with it! – Recommender system industry challenges move towards real-world, online evaluation

Benchmarking News Recommendations: The CLEF NewsREEL Use Case

Towards reproducibility in recommender-systems research

2015

Context-aware LDA: Balancing Relevance and Diversity in TV Content Recommenders

Real-time Recommendations for User-Item Streams

Optimizing and Evaluating Stream-based News Recommendation Algorithms

Stream-Based Recommendations: Online and Offline Evaluation as a Service

Personalized Information Access Using Semantic Knowledge

Development and Evaluation of a Highly Scalable News Recommender System

Predicting GEMS Based on PDA-Assessed Gestural Motion Data

Overview of CLEF NewsREEL 2015: News Recommendation Evaluation Lab