Abstract
Many different recommender system (RS) frameworks have been developed by the research community. Most of these RS frameworks are designed only for research purposes and offline evaluation of different algorithms. A reuse of such frameworks in a productive environment is only possible with high effort. In this paper, we present a concept of a generic reusable RESTful recommender web service framework, designed to perform directly offline and online analysis for research and to use the recommender algorithms in production.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734–749 (2005)
Ekstrand, M.D., Riedl, J.T., Konstan, J.A.: Collaborative filtering recommender systems. Found. Trends Hum. Comput. Interact. 4(2), 81–173 (2011)
Gantner, Z., Rendle, S., Freudenthaler, C., Schmidt-Thieme, L.: MyMediaLite: A free recommender system library. In: Proceedings of the 5th ACM Conference on Recommender Systems (RecSys 2011) (2011)
Gunawardana, A., Shani, G.: A survey of accuracy evaluation metrics of recommendation tasks. J. Mach. Learn. Res. 10, 2935–2962 (2009)
Guo, G., Zhang, J., Sun, Z., Yorke-Smith, N.: Librec: A java library for recommender systems. In: Posters, Demos, Late-breaking Results and Workshop Proceedings of the 23rd Conference on User Modeling, Adaptation, and Personalization (UMAP 2015) (2015)
He, J.: A Social Network-based Recommender System. Ph.D. thesis, Los Angeles, CA, USA, AAI3437557 (2010)
Heineman, G.T., Councill, W.T.: Component-Based Software Engineering: Putting the Pieces Together. Addison-Wesley, Boston (2001)
Jannach, D., Lerche, L., Gedikli, F., Bonnin, G.: What recommenders recommend – an analysis of accuracy, popularity, and sales diversity effects. In: Carberry, S., Weibelzahl, S., Micarelli, A., Semeraro, G. (eds.) UMAP 2013. LNCS, vol. 7899, pp. 25–37. Springer, Heidelberg (2013)
Lee, J., Sun, M., Lebanon, G.: A Comparative Study of Collaborative Filtering Algorithms. ArXiv e-prints, May 2012
Owen, S., Anil, R., Dunning, T., Friedman, E.: Mahout in Action. Manning Publications Co., Greenwich, CT, USA (2011)
Surhone, L., Tennoe, M., Henssonow, S.: EASYREC. Betascript Publishing, Saarbrücken (2010)
van Setten, M., Reitsma, J., Ebben, P.: Duine Toolkit: User Manual. Telematica Instituut, 2.0.3rd edn. (2006)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Schmedding, M. et al. (2016). Recalot.com: Towards a Reusable, Modular, and RESTFul Social Recommender System. In: Kapitsaki, G., Santana de Almeida, E. (eds) Software Reuse: Bridging with Social-Awareness. ICSR 2016. Lecture Notes in Computer Science(), vol 9679. Springer, Cham. https://doi.org/10.1007/978-3-319-35122-3_28
Download citation
DOI: https://doi.org/10.1007/978-3-319-35122-3_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-35121-6
Online ISBN: 978-3-319-35122-3
eBook Packages: Computer ScienceComputer Science (R0)