11 citations · 55 across the 16 of their papers we have counts for
4 papers
Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach
Dominik Kowald, Subhash Pujari, Elisabeth Lex
Hashtags have become a powerful tool in social platforms such as Twitter to categorize and search for content, and to spread short messages across members of the social network. In…
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…
Recommending Items in Social Tagging Systems Using Tag and Time Information
Emanuel Lacic, Dominik Kowald, Paul Seitlinger +2
In this work we present a novel item recommendation approach that aims at improving Collaborative Filtering (CF) in social tagging systems using the information about tags and time…
SocRecM: A Scalable Social Recommender Engine for Online Marketplaces
Emanuel Lacic, Dominik Kowald, Christoph Trattner
In this paper, we present work-in-progress on SocRecM, a novel social recommendation framework for online marketplaces. We demonstrate that SocRecM is not only easy to integrate wi…