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- W4313532549 abstract "In this work, we tackle the problem of adapting a real-time recommender system to multiple application domains, and their underlying data models and customization requirements. To do that, we present Uptrendz, a multi-domain recommendation platform that can be customized to provide real-time recommendations in an API-centric way. We demonstrate (i) how to set up a real-time movie recommender using the popular MovieLens-100k dataset, and (ii) how to simultaneously support multiple application domains based on the use-case of recommendations in entrepreneurial start-up founding. For that, we differentiate between domains on the item- and system-level. We believe that our demonstration shows a convenient way to adapt, deploy and evaluate a recommender system in an API-centric way. The source-code and documentation that demonstrates how to utilize the configured Uptrendz API is available on GitHub." @default.
- W4313532549 created "2023-01-06" @default.
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- W4313532549 date "2023-01-03" @default.
- W4313532549 modified "2023-09-25" @default.
- W4313532549 title "Uptrendz: API-Centric Real-time Recommendations in Multi-Domain Settings" @default.
- W4313532549 doi "https://doi.org/10.48550/arxiv.2301.01037" @default.
- W4313532549 hasPublicationYear "2023" @default.
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