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Recommender systems are used to suggest customized products to users. Most recommender algorithms create collaborative models by taking advantage of Web user profiles. In the last years, in the area of recommender systems, the Netflix contest has been very attractive for the researchers. However, many recent papers on recommender systems present results evaluated with the methodology used in the Netflix...
In this paper, we explain the architecture and provide implementation details of a synchronous collaborative tool we created using a lightweight Web 2.0 mash-up development methodology. This approach allowed us to put together a client interface with reasonable capabilities, scalability, and robustness rapidly. The rapid development of this tool also allowed us to perform thorough testing and incorporation...
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