The diversity of the generated item suggestions can be an important quality factor of a
recommender system. In offline experiments, diversity is commonly assessed with the help …

In the recommender systems field, it is increasingly recognized that focusing on accuracy
measures is limiting and misguided. Unsurprisingly, in recent years, the field has witnessed …

Research in the recommender systems field typically applies a rather traditional evaluation
methodology when assessing the quality of recommendations. This methodology heavily …

In the context of recommender systems (RS), the concept of diversity is probably the most
studied perspective beyond mere accuracy. Despite the extensive development of diversity …

Most news recommender systems face a 'permanent cold-start problem'[20]. Therefore,
besides showing the most recent items [1], many news recommender applications focus on …

Online news article recommendations are typically of the 'more like this' type, generated by
similarity functions. Across three studies, we examined the representativeness of different …

News Recommender Systems (NRSs) have become increasingly pivotal in shaping the
news landscape, particularly in how news is disseminated. This has also led to concerns …

In news media, recommender system technology faces several domain-specific challenges.
The continuous stream of new content and users deems content-based recommendation …

Recent developments in artificial intelligence allow newsrooms to automate journalistic
choices and processes. In doing so, news framing can impact people's engagement with …

News recommender systems (NRSs) offer benefits in the realm of information consumption
and personalized news delivery. Yet, some critics argue that overly personalized news …