200 citations
- Graz University of TechnologyAT52 papers
- Johannes Kepler University of LinzAT9 papers
- University of GrazAT7 papers
- Technical University of MunichDE4 papers
- Washington University in St. LouisUS4 papers
- GESIS - Leibniz Institute for the Social SciencesDE3 papers
- Pontificia Universidad Católica de ChileCL3 papers
- Tallinn UniversityEE3 papers
- Austrian Academy of SciencesAT2 papers
- Central Institution for Meteorology and GeodynamicsAT2 papers
- Institute of Electrical and Electronics EngineersUS2 papers
- Institut für InformationsverarbeitungDE2 papers
8 papers · 1 filter
Educational Technology as Seen Through the Eyes of the Readers
Peter Kraker
In this paper, I present the evaluation of a novel knowledge domain visualization of educational technology. The interactive visualization is based on readership patterns in the on…
Visualization of Co-Readership Patterns from an Online Reference Management System
Peter Kraker, Christian Schlögl, Kris Jack +1
In this paper, we analyze the adequacy and applicability of readership statistics recorded in social reference management systems for creating knowledge domain visualizations. Firs…
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…
Assessing the Quality of Web Content
Elisabeth Lex, Inayat Khan, Horst Bischof +1
This paper describes our approach towards the ECML/PKDD Discovery Challenge 2010. The challenge consists of three tasks: (1) a Web genre and facet classification task for English h…
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…