Spotify Ab

Brian Christian Peter Brost

Rishabh Mehrotra

Mounia Lalmas-Roelleke

Federico Tomasi

Aasish Kumar Pappu

Lucas Maystre

Hugo Flávio Ventura Galvão

Christian Hansen

Casper Hansen

Methods, systems and computer program products are provided for query understanding. A non-focused query quantifier generates non-focused query features that quantify a non-focused query and a non-focused query predictor generates a prediction associated with the non-focused query based on the non-focused query features.

Query understanding methods and systems

An electronic device stores a plurality of vector representations for respective media content items in a vector space, where each vector represents a media content item. The electronic device receives a first set of input parameters representing a previous session of a user of the media-providing service where the previous session included two or more of the respective media content items. The electronic device then receives a second set of input parameters representing a current context of the user and provides the first set of input parameters and the second set of input parameters to a neural network to generate a prediction vector for a current session. The prediction vector is embedded in the vector space. The electronic device identifies, based on the prediction vector for the current session, a plurality of media content items of the respective media content items in the vector space and provides the plurality of media content items to the user of the media-providing service during the current session.

Systems and methods for providing media recommendations using contextual and sequential user embeddings

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New York City, NY, United States of America

Brian Christian Peter Brost