60 citations · 74 across the 6 of their papers we have counts for
3 papers · 1 filter
A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models
Alexander Dallmann, Daniel Zoller, Andreas Hotho
At the present time, sequential item recommendation models are compared by calculating metrics on a small item subset (target set) to speed up computation. The target set contains…
Improving Session Recommendation with Recurrent Neural Networks by Exploiting Dwell Time
Alexander Dallmann, Alexander Grimm, Christian Pölitz +2
Recently, Recurrent Neural Networks (RNNs) have been applied to the task of session-based recommendation. These approaches use RNNs to predict the next item in a user session based…
Of course we share! Testing Assumptions about Social Tagging Systems
Stephan Doerfel, Daniel Zoller, Philipp Singer +3
Social tagging systems have established themselves as an important part in today's web and have attracted the interest from our research community in a variety of investigations. T…