The Inspiration
After helping a friend with her Match.com profile, CEO Kim Foerster realized that watching a TV series is much like a date—you commit your time, money, and emotions to another character. And if it's a good match, you can't get that character out of your head and want to binge every episode they appear in. Using a personality-based algorithm inspired by dating sites and featuring over 6,000 characters with detailed profiles, CharacTour aims to solve the gaps it has identified with other approaches.
Plot-based approaches give you more of the same
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Critics have biases
Good movies get bad ratings
It's not what you watch
"If you like that title, you may also like..." misses important character connections. In Marvel's Avengers franchise, Tony Stark fans like The Big Lebowski and Superbad, but those titles are not popular with the fans of Peter Parker.
Plot-based recommendations tend to give you more of what you already watched with few surprises. With personality-based suggestions, CharacTour aims to open up users' eyes to new content.
Films can be polarizing; some consumers have feelings of love while others feel hate. Overall audience ratings are not reliable guides because many of the users doing the ratings are nothing like you.
Critics may not be the best judge of what you'd like since they review titles from the lens of their own personality. Many movies that were loved by critics attract solitary and highbrow fans. If your personality is opposite of that, you may want to skip the critics' reviews.
Other engines make judgments about users' personalities based on their online actions—such as labeling someone a "Soccer Mom." But you know yourself better than any company possibly can.
Consumers know themselves best
At a party, I'm...
the center of attention
meeting some new people
chilling with my friends
not there; I don't do parties
