Movie Recommendations Using Social Networks
نویسندگان
چکیده
This paper explores utilization of information from social networks in making automatic movie recommendations. Implementations of three different algorithms (SVM, Clustering, and Ranking SVM) are implemented and evaluated. The general approach utilizes a large collection of Facebook profile information as training set in order to generate a list of movie recommendations for a particular user (client). A brief analysis of the importance of specific profile features in making movie recommendations is conducted using feature selection on each of the recommendation algorithms.
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