Personalized filtering systems based on the multi-methods combination
نویسندگان
چکیده
We propose a modular platform to support the development of personalized filtering systems. According our proposal, filtering systems can be constructed through the integration of different modules and changes on specific parameters. We also introduce a hybrid approximation to improve filtering performance based on the combination of content and collaborative filtering, which suppress weakness of each traditional approach.
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