Cineshift allows users to search via alternative parameters which are based on the movies data and not on the ratings of other users or curators. It's a redesigned study project.

Starting situation

We usually watch movies that other people like or that have similarities to movies we have watched before. Thus, it is difficult to find completely new movies that might suit our tastes better. I, for example, like to watch movies set in ancient times.


With Cineshift, users can search and filter movies by alternative parameters which allow concrete conclusions to the type of movies. In this way, completely new films can be found that may fits better to the personal tastes and interests.


Epoch means the time in which the movie plays. By manipulating this parameter the user can decide if he wanna watch a sword-and-sandal or a science-fiction.

Talks means the frequency of spoken text and the number of dialogs. This parameter can say a lot about the dynamic of the movie.

Cuts means the number of cuts per time unit. Many cuts suggest a hectic and action-packed movie.

Look is a mixture of brightness, color warmth and saturation. For example, the user can select colorful, friendly movies or dark colored low saturated horror movies.

Budget often says something about the effect density or the celebrity cast. So the user can decide if he wanna see high-end Hollywood productions or cult trash films.

The user can adjust each parameter and get suitable movie suggestions.
As soon as the user adjust a parameter, a slider appears ...
... and only the colors change instantly to give the user direct feedback, but ensure that the transitions are not too cluttered.
As soon as the user stops sliding, the complete results are displayed.


The idea is based on personal needs. I'm often not looking for a specific genre, but for a certain kind of movie that is difficult to describe with conventional categories. I think that the parameters considered here would make it much easier to find the right movie.

Configuring the desired movie also feels more emotional than getting a suggestion without comment. And I think some more research and investigation around the question Why does who like what kind of movie? could even improve the parameters.

The original project was created in 2017 during my studies. As I am still very convinced of the approach, I recently redesigned it. Rethinking past work is also a great way to reflect on your own progress.

Prototype with 99 movies and in original UI from 2017



Information acc. to § 5 TMG

Sorel Loum

Brüsseler Straße 25

13353 Berlin