As a movie fanatic I'm curious to know how recommendations work. Take a "A single man"—great movie—what other movies would Tinq suggest based on this title?
@eelcojellema Hi. Thanks for the comment. Our approach for recommendation is a form of user-to-user collaborative filtering. But not limited to it. We use a combination of other approaches to improve the prediction performance. Basically, we find people who share similar tastes in TINQ community. The main item of our recommendation system is not the movies but the users. By means of these proximity parameters we provide the user with personalized recommendations. To start getting recommendations we need you to rate at least 15 movies at first. As for your question, rating only this movie does not directly bring you another particular movie recommendation related to it. Instead it helps TINQ to understand your taste pattern better and deliver higher quality recommendations.
HINT: It's possible to transfer your IMDB history & ratings to Tinq in a flash! Check out http://imdb.tinq.co/ (from your mobile device) for instructions & upload process.
@mariosundar Thanks for the comment. We focus more on socialisation and personalisation. TINQ brings users with similar tastes together forming clusters which we call ‘aura’. This aura of yours is unique for you. So you get personalised movie ratings and recommendations which helps you make decisions better. Also in this way we encourage users to interact with their taste mates.
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