Abstract (EN):
Social web sites, like Palco Principal (PP), have considerably sized
databases with the most varied types of information from user subscription
information to user interactions. All that information is susceptible of being
processed using data mining algorithms in order to extract knowledge relevant
for the business. This document describes the implementation and evaluation of
a system that uses data mining techniques, and that has been developed with the
specific intent of generating recommendations, namely music
recommendations, to users of the PP web site. The implemented system uses
collaborative filtering techniques to recommend music additions to a user’s
playlist. The impact of the deployed system has been evaluated online.
Language:
English
Type (Professor's evaluation):
Scientific
Contact:
amjorge@fc.up.pt
Notes:
Keywords: collaborative filtering, recommender systems, deployment, online evaluation.
License type: