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Towards an open, collaborative REST API for recommender systems

Authors:

Iván García,

Alejandro BellogínAuthors Info & Claims

RecSys '18: Proceedings of the 12th ACM Conference on Recommender Systems

Pages 504 - 505

https://doi.org/10.1145/3240323.3241615

Published: 27 September 2018 Publication History

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Abstract

Recommender Systems aim to suggest relevant items to users, however, for this they need to properly obtain/serve different types of data from/to the users of such systems. In this work, we propose and show an example implementation for a common REST API focused on Recommender Systems. This API meets the most typical requirements faced by Recommender Systems practitioners while, at the same time, is open and flexible to be extended, based on the feedback from the community. We also present a Web client that demonstrates the functionalities of the proposed API.

References

[1]

Marco de Gemmis, Pasquale Lops, Cataldo Musto, Fedelucio Narducci, and Giovanni Semeraro. 2015. Semantics-Aware Content-Based Recommender Systems. In Recommender Systems Handbook, Francesco Ricci, Lior Rokach, and Bracha Shapira (Eds.). Springer, 119--159.

Google Scholar

[2]

Thomas Erl, Benjamin Carlyle, Cesare Pautasso, and Raj Balasubramanian. 2013. SOA with REST - Principles, Patterns and Constraints for Building Enterprise Solutions with REST. Pearson Education. http://vig.pearsoned.com/store/product/1,1207,store-12521_isbn-0137012519,00.html

Digital Library

Google Scholar

[3]

Emanuel Lacic, Matthias Traub, Dominik Kowald, and Elisabeth Lex. 2015. ScaR: Towards a Real-Time Recommender Framework Following the Microservices Architecture. In Proceedings of the Workshop on Large Scale Recommender Systems (LSRS2015) at RecSys 2015.

Google Scholar

[4]

RecSysWiki. {n. d.}. Common Recommender REST API. https://web.archive.org/web/20160324042313/http://www.recsyswiki.com:80/wiki/Common_Recommender_REST_API. Accessed April 2018.

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[5]

Francesco Ricci, Lior Rokach, and Bracha Shapira (Eds.). 2015. Recommender Systems Handbook. Springer.

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Google Scholar

Cited By

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MacNeil SDing ZBoone AGrubbs ADow S(2021)Finding Place in a Design SpaceProceedings of the ACM on Human-Computer Interaction10.1145/34492465:CSCW1(1-30)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449246
Alkan ÖMattetti MDaly EBotea AVejsbjerg IKnijnenburg B(2021)IRFProceedings of the ACM on Human-Computer Interaction10.1145/34492375:CSCW1(1-25)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449237
Pidoux JKuntz PGatica-Perez D(2021)Declarative Variables in Online DatingProceedings of the ACM on Human-Computer Interaction10.1145/34491745:CSCW1(1-32)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449174
Show More Cited By

Index Terms

Towards an open, collaborative REST API for recommender systems
1. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Recommender systems
    2. Users and interactive retrieval

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Information & Contributors

Information

Published In

RecSys '18: Proceedings of the 12th ACM Conference on Recommender Systems

September 2018

600 pages

ISBN:9781450359016

DOI:10.1145/3240323

General Chairs:
Sole Pera
Boise State University
,
Michael Ekstrand
Boise State University
,
Program Chairs:
Xavier Amatriain
Curai, USA
,
John O'Donovan
University of California, Santa Barbara

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 September 2018

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Qualifiers

Demonstration

Conference

RecSys '18

Sponsor:

SIGCHI

RecSys '18: Twelfth ACM Conference on Recommender Systems

October 2, 2018

British Columbia, Vancouver, Canada

Acceptance Rates

RecSys '18 Paper Acceptance Rate 32 of 181 submissions, 18%;

Overall Acceptance Rate 254 of 1,295 submissions, 20%

Upcoming Conference

RecSys '24

Sponsor:
sigchi

18th ACM Conference on Recommender Systems

October 14 - 18, 2024

Bari , Italy

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Cited By

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MacNeil SDing ZBoone AGrubbs ADow S(2021)Finding Place in a Design SpaceProceedings of the ACM on Human-Computer Interaction10.1145/34492465:CSCW1(1-30)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449246
Alkan ÖMattetti MDaly EBotea AVejsbjerg IKnijnenburg B(2021)IRFProceedings of the ACM on Human-Computer Interaction10.1145/34492375:CSCW1(1-25)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449237
Pidoux JKuntz PGatica-Perez D(2021)Declarative Variables in Online DatingProceedings of the ACM on Human-Computer Interaction10.1145/34491745:CSCW1(1-32)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449174
Bandy JDiakopoulos N(2021)More Accounts, Fewer LinksProceedings of the ACM on Human-Computer Interaction10.1145/34491525:CSCW1(1-28)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449152
Hartikainen HRazi AWisniewski P(2021)Safe SextingProceedings of the ACM on Human-Computer Interaction10.1145/34491165:CSCW1(1-31)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449116
Alkan OMattetti MDaly EBotea AVejsbjerg IBogers TSaid ABrusilovsky PTikk D(2019)IRFProceedings of the 13th ACM Conference on Recommender Systems10.1145/3298689.3346966(540-541)Online publication date: 10-Sep-2019
https://dl.acm.org/doi/10.1145/3298689.3346966

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