Spotify Ab

Enrico Palumbo

Hugues Bouchard

Alice Yiqing Wang

Maryam Aziz

Rui André Augusto Ferreira

Humberto Jesús Corona Pampín

Gustavo Penha

An electronic device generates training data to train a classifier to classify a respective search query as complete or incomplete, including: obtaining a first search query input by a first user; determining a media content item selected by the first user from the first search query; comparing metadata associated with the media content item with the first search query input by the first user; and labeling the first search query as complete or incomplete based on the comparison. The electronic device trains the classifier, using the generated training data, to classify a respective search query as complete or incomplete and uses the trained classifier to determine whether a second search query is complete or incomplete. The electronic device provides, for display, for a second user, one or more complete search queries as recommendations for a received search query, including the second search query if second search query is complete.

Systems and methods for predicting complete queries

An electronic device provides, to a model trained to generate synthetic queries, information corresponding to a first media content item and a first value for a parameter indicative of query specificity. The device receives, from the model trained to generate synthetic queries, a first query corresponding to the first media content item, wherein the first query is generated in accordance with the first value for the parameter indicative of query specificity. The device provides, to a client device for display at the client device, the first query and receives user selection of the first query. In response to the user selection of the first query, the device provides a first result set of media content items for the first query.

Systems and methods for generating synthetic queries

Growing community of inventors

Turin, Italy

Enrico Palumbo