68 citations · 250 across the 51 of their papers we have counts for
4 papers · 1 filter
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…
Utilizing Online Social Network and Location-Based Data to Recommend Products and Categories in Online Marketplaces
Emanuel Lacic, Dominik Kowald, Lukas Eberhard +3
Recent research has unveiled the importance of online social networks for improving the quality of recommender systems and encouraged the research community to investigate better w…
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…