Snap Inc.

Xinran He

Jie Luo

Yu Shi

Zhou Ren

Christophe Jacky Henri Van Gysel

Sushobhan Nayak

Fangqiu Han

Embodiments of the present disclosure relate generally to determining node embedding using multi-view graphs for analyzing electronic content.

Node embedding in multi-view feature vectors

Systems and methods are provided for generating training data from queries and user interactions associated with media collections related to the queries, and training a machine learning model using the generated training data to generate a trained machine learning model. The systems and methods further provide for receiving a prediction request comprising a query for relevant media collections, analyzing the query to determine query features, determining a plurality of media collections for the query, analyzing the plurality of media collections to determine media collection features for each media collection of the plurality of media collections, and generating, using the trained machine learning model, a semantic matching score for each media collection of the plurality of media collections based on matching the query features to the media collection features for each media collection of the plurality of media collections.

Query matching to media collections in a messaging system

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Los Angeles, CA, United States of America

Xinran He