Search & Recommendations

Search & recommendations research at Spotify focuses on identifying ways to provide users with seamless access to their favorite audio content, from music to podcasts, and to help them explore their taste. A big focus is on building highly effective, personalized and interactive models that exploit contextual information and historical user interactions. Our research interests include large-scale recommendation algorithms for music and more generally audio discovery, algorithms for audio search through voice and text, query analysis for effective query suggestion, query completion and search assistance, multilingual information retrieval for voice search, and ranking algorithm for revenue and music ads.

Latest Search & Recommendations Publications

September 2023 | RecSys

Accelerating Creator Audience Building through Centralized Exploration

Buket Baran, Guilherme Dinis Junior, Antonina Danylenko, Olayinka S. Folorunso, Gösta Forsum, Maksym Lefarov, Lucas Maystre, Yu Zhao

July 2023 | SIGIR

Hear Me Out: A Study on the Use of the Voice Modality for Crowdsourced Relevance Assessments

Nirmal Roy, Agathe Balayn, David Maxwell, Claudia Hauff.

July 2023 | SIGIR

When the Music Stops: Tip-of-the-Tongue Retrieval for Music

Samarth Bhargav, Anne Schuth, Claudia Hauff

Other Research Areas