Our new Research Project "SPURT" (Language Models for Generating Polls and the Identification of Topics) has started

Author: Andreas Lommatzsch

Learning about user interests and opinions of readers of news portals is interesting for both readers and authors. Online surveys and polls have been shown useful to engage readers and to learn about the readers options. The challenge in defining good questions (interesting for most users) is the broad spectrum of topic […]

Announcing the 9th INRA workshop, held in conjunction with RecSys 2021.

Author: Andreas Lommatzsch

ACM RecSys is the leading conference in the research areas of recommender systems. In 2021 in RecSys conference will be held as a hybrid event. The physical part will take place in the Amsterdam Conference Center (the former Amsterdam Stock Exchange Building). The physical sessions are planned for the morning sessions; the […]

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 […]

Bobbi supports Berlin’s Administration in Answering Questions related to COVID-19

Author: Andreas Lommatzsch

Chatbots are a popular technique for building a scalable and easy-to-use solution answering user questions. Bobbi is the chatbot of the City of Berlin. The bot is designed for answering questions related to the services provided by the city administration.

With the spread of the SARS-CoV-2 virus and the related COVID-19 disease, […]

ACM Conference on Recommender Systems 2019 and International Workshop on News Recommendation and Analytics

Author: Benjamin Kille

The ACM International Conference on Recommender Systems was held in Copenhagen from 16th to 20th September 2019. The 13th edition of RecSys features three days of conference talks followed by two days for workshops and tutorials. The program included two keynote speeches. First, Mireille Hildebrandt explored how the EU’s GDPR affects recommender […]

Presenting our Chatbot Research at the LWDA Conference 2019 in Berlin

Author: Andreas Lommatzsch

The 2019 LWDA conference has been held in Berlin from September 30th to October 2nd, 2019. This year’s venues have been the Smart Data Forum (next to the TU Berlin) in and the Berlin School of Library and Information Science (next to the main building of the Humboldt-University Berlin). The conference is […]

Presenting our Multimedia-based Recommender Approaches at the 19th I4CS Conference

Author: Andreas Lommatzsch

The International Conference on Innovative Internet Community Systems (I4CS) has been held in the CongressPark Wolfsburg, June 24 – 26, 2019.

This year the conference focuses was on Digital Innovations for the Public and Mobility Services. The conference focus was especially visible at the second day of the conference. The day started […]

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 […]

The Virtual Citizen Services Assistant would like to have a Name.

Author: Andreas Lommatzsch

Chatbots are one of the most exciting techniques supporting users in finding useful information and in solving complex tasks. In contrast to websites and search engines, chatbots provide a ”natural” interaction scheme. Chatbots try to imitate human experts engaging with users in dialogs. Chatbots combine methods for considering the context and apply […]

NewsREEL Multimedia at MediaEval’18

Author: Benjamin Kille

This year’s edition of our news recommendation challenge NewsREEL focused on multimedia data. We asked participants to estimate which articles would become popular solely based on their textual and visual features. A large-scale data set collected by our long-term partners at plista facilitated evaluating different algorithms.

The MediaEval benchmark brings different evaluation […]