Description:Cinefilia Recommender System
Abstract:Tired of wasting your time sifting through DVDs at the rental store only to end up with a mediocre film? Using a Movie Recommender System can help anyone interested in getting good movie recommendations.
However, it’s not that simple as it looks. Each one of us has individual preferences. For instance, a certain product can please most of its buyers, but it doesn’t satisfy all of them. When we analyze the people’s taste in movies or songs, the individual preferences are more varied. A particular movie can be loved by a person and hated by another (even if it won an Oscar!).
To cope with this, there is a research domain called ”Recommender Systems”. Roughly speaking, such systems are software applications that are able to gather loads of data among preferences and behaviours of users/customers and use this data to suggest tailored items (products or services) to the customer.
One of the most popular techniques used to develop a ”Recommender Systems” is the Collaborative Filtering approach (also called Social Filtering). This technique essentially automates the process of ”word-of-mouth” recommendations. Items are recommended to an user based on the evaluations supplied by other users with similar preferences.
Nowadays, Recommender Systems are best known for their use in e-commerce Websites such as Amazon.com. In general, the more accurate the recommendations are, the bigger the sales will be. Hence, in e-commerce environments these systems can be a valuable CRM (Customer Relationship Management) tool by supporting customers in the decision-making and buying process.
Anyhow, Recommender Systems can be used to suggest anything: books, songs, restaurants and even jokes! Their usage to generate movie recommendations is not an innovative idea. The MovieLens project is considered one of the pioneers of this field, delivering movie recommendations since 1994. Currently, well-know companies like Blockbuster and Netflix have their own movie Recommender system also.
The Cinefilia was born in 2004 as