research
∙
01/03/2023
Uptrendz: API-Centric Real-time Recommendations in Multi-Domain Settings
In this work, we tackle the problem of adapting a real-time recommender ...
share
research
∙
03/02/2022
Recommendations in a Multi-Domain Setting: Adapting for Customization, Scalability and Real-Time Performance
In this industry talk at ECIR'2022, we illustrate how to build a modern ...
research
∙
03/01/2022
Popularity Bias in Collaborative Filtering-Based Multimedia Recommender Systems
Multimedia recommender systems suggest media items, e.g., songs, (digita...
research
∙
11/29/2021
What Drives Readership? An Online Study on User Interface Types and Popularity Bias Mitigation in News Article Recommendations
Personalized news recommender systems support readers in finding the rig...
research
∙
03/30/2020
Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering
In this work, we study the utility of graph embeddings to generate laten...
research
∙
08/12/2019
Evaluating Tag Recommendations for E-Book Annotation Using a Semantic Similarity Metric
In this paper, we present our work to support publishers and editors in ...
research
∙
07/15/2019
Should we Embed? A Study on the Online Performance of Utilizing Embeddings for Real-Time Job Recommendations
In this work, we present the findings of an online study, where we explo...
research
∙
06/12/2019
Exploiting weak ties in trust-based recommender systems using regular equivalence
User-based Collaborative Filtering (CF) is one of the most popular appro...
research
∙
08/20/2018
Neighborhood Troubles: On the Value of User Pre-Filtering To Speed Up and Enhance Recommendations
In this paper, we present work-in-progress on applying user pre-filterin...
research
∙
08/14/2018
AFEL-REC: A Recommender System for Providing Learning Resource Recommendations in Social Learning Environments
In this paper, we present preliminary results of AFEL-REC, a recommender...
research
∙
07/18/2018
Trust-Based Collaborative Filtering: Tackling the Cold Start Problem Using Regular Equivalence
User-based Collaborative Filtering (CF) is one of the most popular appro...
research
∙
11/21/2017
