Every minute, hundreds of hours of movies are being uploaded to different media platforms. For a recommender system to match the right user with the right movie, a certain amount of data is required, e.g. in the form of explicit or implicit ratings...

The new work of Prof. Christoph Trattner et al. fills a gap and answers the needs for updated reference point for researchers and practitioners who consider integrating temporal aspects in their personalised systems.

Professors Brita Ytre-Arne and Hallvard Moe, alongside researcher Erik Knudsen and Postdoctoral Fellow John Magnus Dahl will present their research at the 72nd International Communication Association conference in Paris.