Uptrendz: API-Centric Real-Time Recommendations in Multi-domain Settings

Emanuel Lacic; Tomislav Duricic; Leon Fadljevic; Dieter Theiler; Dominik Kowald

doi:10.1007/978-3-031-28241-6_23

Uptrendz: API-Centric Real-Time Recommendations in Multi-domain Settings

Emanuel Lacic, Tomislav Duricic, Leon Fadljevic, Dieter Theiler, Dominik Kowald^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

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-100 k 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.

Original language	English
Title of host publication	Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings
Editors	Jaap Kamps, Lorraine Goeuriot, Fabio Crestani, Maria Maistro, Hideo Joho, Brian Davis, Cathal Gurrin, Annalina Caputo, Udo Kruschwitz
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	255-261
Number of pages	7
ISBN (Print)	9783031282409
DOIs	https://doi.org/10.1007/978-3-031-28241-6_23
Publication status	Published - 2023
Event	45th European Conference on Information Retrieval: ECIR 2023 - Dublin, Ireland Duration: 2 Apr 2023 → 6 Apr 2023

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13982 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	45th European Conference on Information Retrieval
Country/Territory	Ireland
City	Dublin
Period	2/04/23 → 6/04/23

Keywords

API-centric recommendations
Multi-domain recommendations
Real-time recommendations
Uptrendz

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

Access to Document

10.1007/978-3-031-28241-6_23

Cite this

Lacic, E., Duricic, T., Fadljevic, L., Theiler, D., & Kowald, D. (2023). Uptrendz: API-Centric Real-Time Recommendations in Multi-domain Settings. In J. Kamps, L. Goeuriot, F. Crestani, M. Maistro, H. Joho, B. Davis, C. Gurrin, A. Caputo, & U. Kruschwitz (Eds.), Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings (pp. 255-261). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13982 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-28241-6_23

Uptrendz: API-Centric Real-Time Recommendations in Multi-domain Settings. / Lacic, Emanuel; Duricic, Tomislav; Fadljevic, Leon et al.
Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. ed. / Jaap Kamps; Lorraine Goeuriot; Fabio Crestani; Maria Maistro; Hideo Joho; Brian Davis; Cathal Gurrin; Annalina Caputo; Udo Kruschwitz. Springer Science and Business Media Deutschland GmbH, 2023. p. 255-261 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13982 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Lacic, E, Duricic, T, Fadljevic, L, Theiler, D & Kowald, D 2023, Uptrendz: API-Centric Real-Time Recommendations in Multi-domain Settings. in J Kamps, L Goeuriot, F Crestani, M Maistro, H Joho, B Davis, C Gurrin, A Caputo & U Kruschwitz (eds), Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13982 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 255-261, 45th European Conference on Information Retrieval, Dublin, Ireland, 2/04/23. https://doi.org/10.1007/978-3-031-28241-6_23

Lacic E, Duricic T, Fadljevic L, Theiler D, Kowald D. Uptrendz: API-Centric Real-Time Recommendations in Multi-domain Settings. In Kamps J, Goeuriot L, Crestani F, Maistro M, Joho H, Davis B, Gurrin C, Caputo A, Kruschwitz U, editors, Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 255-261. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-031-28241-6_23

Lacic, Emanuel ; Duricic, Tomislav ; Fadljevic, Leon et al. / Uptrendz : API-Centric Real-Time Recommendations in Multi-domain Settings. Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings. editor / Jaap Kamps ; Lorraine Goeuriot ; Fabio Crestani ; Maria Maistro ; Hideo Joho ; Brian Davis ; Cathal Gurrin ; Annalina Caputo ; Udo Kruschwitz. Springer Science and Business Media Deutschland GmbH, 2023. pp. 255-261 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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