OdysseusRecSys: Collaborative Filtering based on a Data Stream Management System
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چکیده
The development of algorithms for online Collaborative Filtering (CF) in the past few years enables to add new rating data to existing models. The Recommender System (RecSys) task changes from calculating recommendations from a static and finite dataset to continuously processing rating data. Instead of using stream processing frameworks to implement CF algorithms, we present a prototype that extends the open source Data Stream Management System (DSMS) Odysseus in a generic and domain-independent way. The user can build a custom RecSys that benefits from existing DSMS features by defining a continuous query with a declarative query language.
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تاریخ انتشار 2015