Abstract: Methods and systems for generating content recommendations using AI models are disclosed herein. In some embodiments, the method includes receiving user input. The method includes converting the user input into a high-dimensional embedding using one or more AI models. The method also includes performing a hierarchical search using the high-dimensional embedding to retrieve and refine a search result of recommended items and presenting the recommended items to a user.

Abstract: A system and method for enhancing data feed using a machine learning (ML) model are disclosed. In some embodiments, the method includes receiving multimodal data associated with a plurality of data items and providing, from the received multimodal data, a set of multimodal data samples to the ML model, each multimodal data sample associated with two or more modalities. The method also includes training the ML model using the set of multimodal data samples by optimizing a similarity value computed for each multimodal data sample based on whether the multimodal data sample is associated with a same data item or from different data items. The method further includes receiving new data associated with a new data item, the new data including one or more data components to be enriched, and automatically populating the one or more data components using the trained ML model.

Abstract: Techniques are generally described for cropped image evaluation. In various examples, first image data representing a first image and second image data representing a cropped version of the first image may be received. An image captioning model may be used to generate first text data describing the first image data and second text data describing the second image data. A first encoder may be used to generate first data representing the first text data and second data representing the second text data. In various examples, a third data representing a degree of similarity between the first data and the second data may be generated. In some cases, first computer-executable instructions configured to cause the second image data to be displayed on a display may be generated based at least in part on the third data.