Cognitive digital video filtering based on user preferences
Abstract:
A method and system for digital video content filtering is provided and includes receiving a request to filter instances of recorded digital video content, based on user preferences from a user profile. The instances are segmented based on a cognitive analysis using content tags in the instances. The computer accesses a relationship map and tags from the user profile. The relationship map describes how the segments from the instances of recorded digital video content are related to each other. The computer performs a cognitive analysis of the user profile data utilizing the accessed relationship map and tags. A relevance score is assigned to the instances of recorded digital video content, which indicates a strength of the relationship between the identified instances and the user viewing preferences and/or keywords. Relevant segments are identified based on the relevance score exceeding a predetermined threshold value. The relevant segments are stored on the computer.
Public/Granted literature
Information query
Patent Agency Ranking
0/0