4 citations · 7 across the 4 of their papers we have counts for
4 papers · 1 filter
The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study
Dominik Kowald, Paul Seitlinger, Tobias Ley +1
In this paper, we present the results of an online study with the aim to shed light on the impact that semantic context cues have on the user acceptance of tag recommendations. The…
Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics
Paul Seitlinger, Dominik Kowald, Simone Kopeinik +3
Classic resource recommenders like Collaborative Filtering (CF) treat users as being just another entity, neglecting non-linear user-resource dynamics shaping attention and interpr…
Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender
Dominik Kowald, Paul Seitlinger, Christoph Trattner +1
We assume that recommender systems are more successful, when they are based on a thorough understanding of how people process information. In the current paper we test this assumpt…
Long Time No See: The Probability of Reusing Tags as a Function of Frequency and Recency
Dominik Kowald, Paul Seitlinger, Christoph Trattner +1
In this paper, we introduce a tag recommendation algorithm that mimics the way humans draw on items in their long-term memory. This approach uses the frequency and recency of previ…