Abstract: Selective/controlled disclosure of user information to private workspaces of other users/invitees based on context/contextual relations, and a shared workspace or market to collaborate amongst the other users (e.g., to crowd-source gifts of interest to the recipient). Contextual disclosure may be based on common context or commonality under a set of conditions, such as a topic, which may include known topics of relationships amongst the users and/or undiscovered contexts. As an example, items of interest to each user are identified and clustered, keywords are assigned to the clusters indicative of topics/subjects of interests to the respective users, recipient keywords are compared to keywords of an invitee to identify common keywords as shared interests, and items of interest to the recipient that relate to the common keywords are disclosed to the invitee as a personalized wish-list. Keyword weighting and/or keyword/item level privacy designations may be provided to further control disclosure.

Abstract: Technologies for establishing connections between or among people based at least in part on semantic distance and relational distance include one or more computing devices that analyze content created by computing device users, perform content clustering on the content, determine relational distances between connection candidates, and generate connection recommendations based at least in part on the content clustering and the relational distances.

Abstract: Examples are disclosed for determining a suggested camera pose or suggested camera settings for a user to capture one or more images. In some examples, the suggested camera pose or suggested camera settings may be based on an indication of the user's interest and gathered information associated with the user's interests. The user may be guided to adjust an actual camera pose or actual camera settings to match the suggested camera pose or suggested camera settings.

Abstract: Technologies for customized drug provisioning include a drug dosage determination server and a drug dispenser device. The drug dosage determination server is configured to obtain patient physiological data associated with a patient, determine a drug dosage for the patient based on the patient physiological data, generate drug dosage instructions for a drug dispenser device, based on the determined drug dosage, and transmit the drug dosage instructions to the drug dispenser device. The drug dispenser device is configured to receive drug dosage instructions from the drug dosage determination server, prompt the patient for authentication credentials, determine whether the patient is authenticated, generate the drug based on the drug dosage instructions in response to a determination that the patient is authenticated, and dispense the drug. Other embodiments are described.

Abstract: Selective/controlled disclosure of user information to private workspaces of other users/invitees based on context/contextual relations, and a shared workspace or market to collaborate amongst the other users (e.g., to crowd-source gifts of interest to the recipient). Contextual disclosure may be based on common context or commonality under a set of conditions, such as a topic, which may include known topics of relationships amongst the users and/or undiscovered contexts. As an example, items of interest to each user are identified and clustered, keywords are assigned to the clusters indicative of topics/subjects of interests to the respective users, recipient keywords are compared to keywords of an invitee to identify common keywords as shared interests, and items of interest to the recipient that relate to the common keywords are disclosed to the invitee as a personalized wish-list. Keyword weighting and/or keyword/item level privacy designations may be provided to further control disclosure.

Abstract: Technologies for establishing connections between or among people based at least in part on semantic distance and relational distance include one or more computing devices that analyze content created by computing device users, perform content clustering on the content, determine relational distances between connection candidates, and generate connection recommendations based at least in part on the content clustering and the relational distances.

Abstract: Examples are disclosed for determining a suggested camera pose or suggested camera settings for a user to capture one or more images. In some examples, the suggested camera pose or suggested camera settings may be based on an indication of the user's interest and gathered information associated with the user's interests. The user may be guided to adjust an actual camera pose or actual camera settings to match the suggested camera pose or suggested camera settings.