Online Recommender Systems based on Data Stream Management Systems

In this paper, I present a novel approach for implementing a stream-based Recommender System (RecSys). I propose to add RecSys operators to an application-independent Data Stream Management System (DSMS) to allow writing continuous queries over data streams that calculate personalized sets of recommendations. That empowers RecSys providers to create a custom RecSys by writing queries in a declarative query language. This approach ensures a flexible and extendable usage of RecSys functions in different settings and benefits from matured features of DSMSs. Categories and Subject Descriptors H.4 [Information Systems Applications]: Miscellaneous; H.3.3 [Information Storage and Retrieval]: Information Search and Retrieval—information filtering, relevance feedback Keywords recommender system; collaborative filtering; data stream management system; stream processing

• Type: Journal
• Year: 2015
• Where: RECSYS
• Authors: Cornelius A. Ludmann
• Keywords: Control Systems, RECSYS 2015