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Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives

Recommender systems research and practice are fast-developing topics with growing adoption in a wide variety of information access scenarios. In this paper, we present an overview of research specifically focused on the emphevaluation of recommender …

Evaluating Recommender Systems: Survey and Framework

Report on the 2nd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022) at RecSys 2022

HSP Datasets: Insights on Song Popularity Prediction

Height Optimized Tries

We present the Height Optimized Trie (HOT), a fast and space-efficient in-memory index structure. The core algorithmic idea of HOT is to dynamically vary the number of bits considered at each node, which enables a consistently high fanout and thereby …

Report on the 1st Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2021) at RecSys 2021

Leveraging Affective Hashtags for Ranking Music Recommendations

Support the underground: characteristics of beyond-mainstream music listeners

User models for multi-context-aware music recommendation

User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues