11 citations · 45 across the 18 of their papers we have counts for
3 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…