Announcing the 12th Intl. Workshop on News Recommendation and Analytics (INRA’24)

Author: Andreas Lommatzsch

Recommender systems have become crucial in managing the overwhelming volume of news in today’s digital ecosystem by providing personalized, context-aware suggestions. The introduction of Large Language Models (LLMs) has significantly transformed the news industry by automating the generation of news content. The field of news recommendation is faced with numerous challenges, including […]

Announcing the 10th Intl. Workshop on News Recommendation and Analytics

Author: Andreas Lommatzsch

In our continuously changing world, news play a major role. In recent years we observed a rapidly changing news ecosystem leading to new challenges: Workshop on News Recommendation and Analytics (INRA) serves to exchange ideas and discuss recent trends, technological advancements, and open problems concerning news. The workshop provides a forum to […]

Announcing MediaEval – News Images 2020

Author: Andreas Lommatzsch

Images play an important role in online news articles and news consumption patterns. The influence of images on the perceived relevance of news items as well as the factors making images interesting in news are not well researched yet. This has been the motivation for us to setup the "News Images" task […]

Multi-Media Analysis for Recommender Systems

The World Wide Web had initially comprised a collection of texts in the form of HTML documents. Over the years, organizations and increasingly users have added a variety of multimedia. Today, popular web portals attract viewers not only with captivating stories but audio, images, and videos.

Users continue struggling with the vast amount of information […]

Tutorial Real-time Recommendations with Streamed Data @ KI2018

Author: Andreas Lommatzsch

The 41st German Conference on Artificial Intelligence will be held September 24-28th, 2018, Berlin, Germany. The conference brings together academic and industrial researchers from all areas of AI. It is an well-established venue to discuss new trends in AI and to exchange new research results. The deadline for submitting abstracts is on […]

The Role of Quantified Self for Personal Healthcare

Call for Papers

We are pleased to announce “The Role of Quantified Self for Personal Healthcare” (QSPH’14), a workshop held in conjunction with IEEE BIBM 2014 in Belfast, UK. The IEEE International Conference on Bioinformatics and Biomedicine (BIBM) has established itself as the premier research conference in bioinformatics and biomedicine.

The aims of the workshop […]

Special Session @ MMM’15

Call for Papers

We are pleased to announce the special session on Personal (Big) Data Modeling for Information Access & Retrieval which has been accepted as part of the 21st International Conference on Multimedia Modeling (MMM’15). MMM is a leading international conference for researchers and industry practitioners for sharing new ideas, original research results and […]

Tutorial @ Informatik’14: Call for Participation

Together with our project partners from plista GmbH, we will provide a tutorial (in German language) at INFORMATIK’14 on processing data streams in real-time. The Annual Informatik conference is the largest computer science conference series in the German-speaking world. This year, practitioners and scientists will meet in Stuttgart to discuss latest advancements in the field […]

Linking The Quantified Self

Call for Papers

We are pleased to announce the International Workshop on Linking The Quantified Self (LinkQS’14), held in conjunction with Hypertext’14 in Santiago de Chile.

Quantified Self (QS), also known as Personal Informatics (PI), is a school of thought that aims to use technology for acquiring and collecting data on different aspects of the […]

Visualization of Heterogeneous Content

Call for Papers

We are pleased to announce the 1st International Workshop on the Visualization of Heterogeneous Multimedia Content, held in conjunction with ICME 2014.

Most of the time when we speak of multimedia corpora, we think of homogeneous datasets consisting of either audio files, videos or sensor data. In recent years, however, we could […]