![]() * packs of movies are broken down into individual movies. ![]() * manage your collection with all the technical details. It will also give accurate recommendations based on your taste, helping you to decide what to watch and to discover great movies and series that you would have missed otherwise. The "media type" and "language" values will be set to the same values that were used the last time.Coollector Movie Database will catalog your collection of DVDs and video files. Tips & Tricks: with the keyboard shortcuts, adding a video from scratch can be as fast as pressing '+', 'ENTER', and 'ENTER' again. => refresh the pictures (force the pictures to be downloaded again). => contribute a picture for a movie, a person, or a character (without opening any website). => contribute a picture for a movie, a person, or a character (opens some websites to find pictures). => edit or delete a tag globally (for all the movies that have it). => play the video files on your hard disk for the selected movie. => during a string search, delete the last WORD (keep ESC pressed to delete the entire search). => during a string search, delete the last CHARACTER. => if no search is active, make appear the last used search during a string search, validate the current word, and move to the next one. => directly start a string search (movie or person search, depending on which panel has the focus). => in a dialog, equivalent to clicking the focused button. The higher the reliability, the more surprising it would be that the prediction was wrong. The reliability increases as the app gets more confident about how much you'll like the movie. ![]() A reliability of zero means that the app has no idea whether you'll like a movie or not. As a result, some predictions are safe bets, but others are more risky and could be wrong. The reliability also varies from one prediction to another because some popular movies have been rated by a lot of your doppelgangers, while more obscure ones have only been rated by a handful of them. In the beginning, the reliability of the predictions can't be great because we don't have yet enough information about your tastes to distinguish a good doppelganger from a not so good doppelganger, but that will quickly improve as you'll rate more movies. If those doppelgangers of yours have seen movies that you haven't seen yet, we can assume that you'll like those movies as much as they did. We locate other users with tastes and interests the most similar to yours. We're using a technique called "collaborative filtering". How can we predict how much you'll like a movie? Less frustration when choosing what to watch, and more satisfaction from watching better shows! Why would you waste your precious time watching an average show when you could be enjoying a much better one? This app will help you find your next entertainment in the most convenient way and ensure you get the most pleasant experience. We live in a golden age where we have access to such an insame amount of awesome movies and series, it's not even possible to watch them all. Discover great movies and series you would have missed otherwise. Get personalized recommendations matching your tastes. Learn what's currently trending, which series are airing new episodes, and which streaming services have the episodes that you haven't seen yet. Get informed about which movies and series are added or about to expire. Explore streaming content more easily by hiding what you've already watched and what you're not interested in. Track what you've seen and how much you've liked it.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |