Abstract: According to examples, a system for coordinating and managing potential volunteers (i.e., volunteer blood donors) is disclosed. The system may include may include a processor and a memory storing instructions. The processor, when executing the instructions, may cause the system to receive partner data from one or more of a local partner and a global partner and determine a donation need based on the partner data. The processor may also cause the system to identify a pool of volunteer donors based on the donation need, build an online campaign to increase the pool of volunteer donors, and coordinate the pool of volunteer donors with the local or global partners based at least in part on a machine learning (ML) technique.

Abstract: A method of generating a personalized video for a user of a social networking service. For a plurality of images associated with the user, respective first metrics are determined for respective images of the plurality of images based on one or more predefined image-content criteria, a first set of images is selected from the plurality of images based at least in part on the respective first metrics, and the personalized video is populated with the first set of images. The method further includes providing the personalized video to the user for viewing.

Abstract: An exemplary method to cache content for a personalized video includes storing a first tier of images in a first image cache. The images of the first tier are included in a personalized video for a user. Storing a second tier of images in a second image cache. The images of the second tier are alternatives to the images of the first tier. The method further includes providing the personalized video to the user for editing, comprising retrieving the first tier of images from the first image cache and sending the first tier of images to a client device of the user. The method further includes providing the second tier of images to the user as selectable replacements for the first tier of images, comprising retrieving the second tier of images from the second image cache and sending the second tier of images to the client device of the user.

Abstract: An exemplary method to edit a personalized video includes: displaying, in a first portion of the display, a first image slide of a scene in a personalized video, wherein the first image slide includes a first image and the scene includes one or more image slides showing one or more respective images. The method further includes displaying, in a second portion of the display, a plurality of suggested images selectable for inclusion in the scene. The method further includes detecting selection of a second image in the plurality of suggested images and in response to detecting the selection of the second image, replacing the first image with the second image in the first image slide.

Abstract: A method of generating a personalized video for a user of a social networking service. For a plurality of images associated with the user, respective first metrics are determined for respective images of the plurality of images based on one or more predefined image-content criteria, a first set of images is selected from the plurality of images based at least in part on the respective first metrics, and the personalized video is populated with the first set of images. The method further includes providing the personalized video to the user for viewing.