When visiting and interacting with websites we share important data about ourselves: Netflix knows some movies I watch, Amazon knows some books I read, and Last.fm knows some music I listen to.
While this data enables these services to provide additional value - Amazon suggests books; Last.fm notifies me of concerts - there’s two major issues: (i) the data is not accessible by the user; (ii) the data is site-centric.
For example, despite Netflix knowing some movies I watch, they don’t know about my movie activity across other sites. And there’s no easy way for me to let them know.
Therein lies the problem to site-centric datasets that aren’t user controlled: each site represents a fraction of our total web activity within a given vertical. Increasingly our interactions within a vertical are web-wide. For movies, we read reviews on Rotten Tomatoes or IMDB, watch trailers on Apple, buy tickets on Fandango, rent from Netflix, and buy discs from Amazon.
Glue’s data supports this: of all movie data on Glue, less than 15% comes from Netflix.
Glue’s web-wide dataset is enabled by our core semantic technology and the ability to correlate objects across hundred’s of popular sites.
This robust (and fast growing) dataset enables Glue to provide unique value to our user community. Today, it’s already showing you what’s popular across the web and providing personalized suggestions based on your web-wide activity. Tomorrow? There are a lot of options with data this rich. What would you like to see?
