International Business Machines Corporation
Cognitive content suggestive sharing and display decay

Abstract:

Disclosed embodiments provide techniques for automatically suggesting members of a social media system as recipients for sharing an item of social media content. Computerized analysis of the social media content includes image analysis, audio analysis, and language analysis for classifying the content. Profiles of participants within a social media system are examined to determine candidates for sharing. A subset of participants having profiles with metadata deemed relevant to the analyzed social media content is obtained. For each participant in the subset, an interaction score is computed, indicative of the amount of interaction between the participant and the sender of the content has occurred previously. The subset is ranked based on the interaction score. Participants having an interaction score above a predetermined threshold are deemed to be candidates for sharing the item of social media content, and are presented to a user on an electronic display.