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NRA 2014

International Workshop on News Recommendation and Analytics (NRA 2014) will be held in conjunction with 22nd Conference on User Modelling, Adaptation and Personalization (UMAP 2014) on 7-11 July 2014 // Aalborg, Denmark. Call for papers (HTML - PDF).

Telenor-IDI Seminar

The seminar is held on 12 December 2013 in collaboration of Telenor and IDI. The main focus of the seminar was about the current progress of the SmartMedia project and recommender systems. You can find the program and presentations given during the seminar in here.

NxtMedia Conference

In 8-9 October 2013 we participated the seminar at NxtMedia Conference about the potential of recommendation technology.

NRS 2013

We are delighted to organise the first International Workshop and Challenge on News Recommender Systems at the 7th ACM Recommender System Conference (RecSys 2013) in Hong Kong. This workshop intends to bring together researchers and practitioners around the topics of designing and evaluating novel news recommender systems in order to: (1) share research on news recommendation techniques and evaluation methodologies (2) explore key challenges in the area, and (3) identify emerging topics. Additionally, a challenge will allow participants to evaluate their method by directly interacting with a real-world news recommender systems. The challenge will feature a data set designed to bootstrap a news recommender system. During the weeks before the conference, we will record how well each participant’s system performs with respect to the ratio of clicks per recommendation request. The observed performances will be outlined. We will award the best performing systems. This workshop aims at creating an interdisciplinary community with a focus on the design issues for news recommender systems and promoting the collaboration opportunities between researchers and practitioners.
The workshop will be held a sequence of talks structured as sessions. Such sessions will allow participants to present their work. We reserve one session to present the challenge’s results. Participants who took part in the challenge will have the chance to present their method during this session. Besides challenge contributions, we welcome submissions covering topics related to news recommender systems. Such topics include but are not limited to:

Topics of interest