We have implemented a web crawler that obtains new movie listings from the web. This module is executed off-line and creates a data base of movies being played in cine\mas. This data base also contains information about the location of the cinemas, the description of the movies and any other data required by our system. Once it has that information it
searches the complete file of each of the movies in the movie listing. Later, it analyses the file and extracts all the data required to define the movie.
Each specific piece of data is a field that the individual recommender contrasts. For example, in our particular case study, these fields are main actors, director, year, etc. The items recovered, with all their specific information, are the products to be recommendeded.

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