CrowdRec project successfully kicked off

Earlier this week, CC IRML hosted the kick-off meeting of the European project CrowdRec. CrowdRec (Crowd-powered recommendation for continuous digital media access and exchange in social networks) is a 36 month Collaborative Project, partially funded by the European Commission via FP7. We are proud to be part of the consortium of eight partners from academia […]

Witamy, Radek!

Radek Nielek

We are pleased to welcome Dr. Radek Nielek at CC IRML. Radek is assistant professor at the Polish-Japanese Institute of Information Technology (PJWSTK) in Warsaw, Poland. PJWSTK is a research university which has been founded by both the Polish and Japanese government to foster research cooperation between both countries. Besides, Radek is […]

New scholarship student at DAI Lab

We are happy to welcome Cagdas Esiyok as new PhD student here at CC IRML. Cagdas has a master degree in intelligent systems from the University of Sussex (UK) and a bachelor degree from Gazi University (TUR). His research interests are natural language processing and opinion mining. He holds a scholarship from his home country.

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NRS Challenge: Data set released

Author: Benjamin Kille

We are excited to announce that the NRS (News Recommender Systems) Challenge data set has been released. The challenge is co-located with ACM RecSys 2013 in Hong Kong, China. The data set contains about 84 million impressions and 2.5 million accepted recommendations. Additionally, news item attributes such as title, text snippets, and […]

Congratulations Alan Said and Akram Al-Kouz

Our warmest congratulations to former CC IRML members Dr.-Ing. Alan Said and Dr.-Ing. Akram Al-Kouz who recently finished their PhD here at TU Berlin. Alan, who graduated with a thesis on “Evaluating the Accuracy and Utility of Recommender Systems” joined CWI in Amsterdam as ERCIM fellow. Akram accepted the post of Assistant Professor at Princess […]

IRML welcomes visting researcher

We would like to extend a warm welcome to visiting researcher Dr. Udo Kruschwitz from The University of Essex who is visiting CC IRML to learn more about the personalization and recommendation techniques we use.

Udo is a Senior Lecturer in the School of Computer Science and Electronic Engineering at the University of Essex. His […]

IR Made in Germany

CC IRML is featured in the latest issue of the Informer, the quarterly newsletter of the BCS IRSG. The BCS IRSG is the largest Information Retrieval Specialist Group in Europe and host of the well known annual ECIR conference.

In 2013, the editors of the Informer continued a series of special issues on introducing different […]

CC IRML @ CEBIT 2013

As part of the DAI Lab Cebit appearance, CC IRML presents some research project we currently working on:

PIA Enterprise: PIA Enterprise is an enterprise search engine that has the goal to assist employees to fulfill their daily information gathering tasks. PIA provides access to content from multiple sources within the enterprise such as intranet, […]

EPEN – A Personalized Recommendation System for News Articles

Starting at the beginning of 2013, we intiated a new project in the area of recommender systems. The project is called EPEN – Development of a personalized recommendation system for news articles, (German: Entwicklung von Personalisierten Empfehlungssystemen für Nachrichten).

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New PhD Student

Weijia Shao joins the IRML team as a PhD student. He holds a master degree in computer science from the Universität des Saarlandes, Saarbrücken. His background is machine learning and recommendation.