Abstract: A search computing system receives an interaction history for one or more respective users describing interactions with one or more items and generates a co-interaction matrix, each value in the co-interaction matrix representing a number of common users determined to have had the interaction with an item of a corresponding row and an item of the corresponding column of the co-interaction matrix where the value is located. The search computing system generates an embeddings matrix comprising an item embedding value for each of the one or more items by applying matrix factorization to the co-interaction matrix and determines, in response to a search query of a particular user, a user embedding value for the searching user based on the interaction history for the searching user. The search computing system determines a similarity between each search result and user interaction history by comparing the user embedding value against each of the item embedding values.

Abstract: A system includes one or more devices for use in a learning environment that transmit information about the learning environment to a computing system. A recording device for use in the learning environment includes a camera, a processing device, and a storage device. The processing device is configured to process each of a plurality of video files including video data captured by the camera to generate information about which of the plurality of video files satisfy a particular characteristic. The recording device is configured to transmit the information about which of the plurality of video files satisfy the particular characteristic to the computing system, and is configured to transmit a particular video file of the plurality of video files in response to a download request for the particular video file. Wearable devices are wearable by students in the learning environment and transmit signals to provide information about the students.