Technology

TagLift™ validates and augments author-defined metadata. This metadata is combined with semantic analysis and social context to accurately determine the “real” content of a video and its audience.

Social context

Online users share unprecedented amounts of information about their viewing experiences and preferences. TagLift indexes and analyzes user preference data on the leading video hosting services and social networks. TagLift dynamically identifies anonymous communities of users with shared interests and searches for meaning and behavioral patterns.

Metadata validation

User generated metadata is unreliable. TagLift performs statistical and semantic analysis on aggregated metadata from millions of videos and users. TagLift enhances each video's metadata with highly relevant keywords and semantic meaning.

Semantic Analysis

TagLift aggregates metadata from thousands of related videos and harnesses semantic logic to disambiguate and correctly define meaning and target categories.

Audience Matching

For each video, TagLift's algorithm identifies an anonymous virtual community of users who have similar interests. By learning about user preferences, TagLift enables ad matching to the specific, unique audience of each video, regardless of where the video is being consumed.