Markus Schedl

Multimedia recommender systems

2018

This tutorial introduces multimedia recommender systems (MMRS), in particular, recommender systems that leverage multimedia content to recommend different media types. In contrast to the still most frequently adopted collaborative filtering approaches, we focus on content-based …

Effective Controllable Bias Mitigation for Classification and Retrieval using Gate Adapters

2024 · arXiv (Cornell University)

Bias mitigation of Language Models has been the topic of many studies with a recent focus on learning separate modules like adapters for on-demand debiasing. Besides optimizing for a modularized debiased model, it is often …

Parameter-Efficient Single Collaborative Branch for Recommendation

2025

Recommender Systems (RS) often rely on representations of users and items in a joint embedding space and on a similarity metric to compute relevance scores.In modern RS, the modules to obtain user and item representations …

Robust Harmful Meme Detection under Missing Modalities via Shared Representation Learning

2026

Internet memes are powerful tools for communication, capable of spreading political, psychological, and sociocultural ideas. However, they can be harmful and can be used to disseminate hate toward targeted individuals or groups. Although previous studies …

Current challenges and visions in music recommender systems research

2018 · International Journal of Multimedia Information Retrieval

Music recommender systems (MRSs) have experienced a boom in recent years, thanks to the emergence and success of online streaming services, which nowadays make available almost all music in the world at the user’s fingertip. …

Movie genome: alleviating new item cold start in movie recommendation

2019 · User Modeling and User-Adapted Interaction

As of today, most movie recommendation services base their recommendations on collaborative filtering (CF) and/or content-based filtering (CBF) models that use metadata (e.g., genre or cast). In most video-on-demand and streaming services, however, new movies …

Recommender Systems Leveraging Multimedia Content

2020 · ACM Computing Surveys

Recommender systems have become a popular and effective means to manage the ever-increasing amount of multimedia content available today and to help users discover interesting new items. Today’s recommender systems suggest items of various media …