10 citations · 31 across the 7 of their papers we have counts for
4 papers · 1 filter
Enhancing Sequential Music Recommendation with Negative Feedback-informed Contrastive Learning
Pavan Seshadri, Shahrzad Shashaani, Peter Knees
Modern music streaming services are heavily based on recommendation engines to serve content to users. Sequential recommendation -- continuously providing new items within a single…
Leveraging Negative Signals with Self-Attention for Sequential Music Recommendation
Pavan Seshadri, Peter Knees
Music streaming services heavily rely on their recommendation engines to continuously provide content to their consumers. Sequential recommendation consequently has seen considerab…
Content-driven Music Recommendation: Evolution, State of the Art, and Challenges
Yashar Deldjoo, Markus Schedl, Peter Knees
The music domain is among the most important ones for adopting recommender systems technology. In contrast to most other recommendation domains, which predominantly rely on collabo…
Session-Based Hotel Recommendations: Challenges and Future Directions
Jens Adamczak, Gerard-Paul Leyson, Peter Knees +5
In the year 2019, the Recommender Systems Challenge deals with a real-world task from the area of e-tourism for the first time, namely the recommendation of hotels in booking sessi…