Tagungsbeiträge

On the Decaying Utility of News Recommendation Models

AutorBenjamin Kille, Sahin Albayrak
QuelleTemporal Reasoning in Recommender Systems Workshop 
LinksBibTeX 

For how long will a recommendation model provide adequate recommendations? The answer to this question depends on the kind of model, its underlying data, and the domain among other factors. We analyse four types of models in the news domain on how their predictive performances change. Our observations show that replacing or updating models is necessary to maintain high predictive performance. The evaluation suggests that an exponential decay model describes the changing predictive performance accurately.