High Performance Recommendation and Adaptation Platform for Enterprise Applications

BIR-WS 2018 [online] : BIR Short Papers, Workshops and Doctoral Consortium : Joint Proceedings of the BIR 2018 Short Papers, Workshops and Doctoral Consortium co-located with 17th International Conference "Perspectives in Business Informatics Research" (BIR 2018). CEUR Workshop Proceedings. Vol.2218 2018
Jānis Kampars, Lauma Jokste, Jānis Grabis

Modern enterprise applications have high degree of complexity. Usage recommendations help to address this complexity from the user perspective. The paper uses recommendations to guide business process execution in enterprise applications. To provide timely support, the recommendations should be generated in near real-time without compromising performance. That is achieved by developing a platform integrating data streams and generating recommendations autonomously of the enterprise application. The platform is shown capable of processing high volume data streams and generate recommendations in near real-time.

Atslēgas vārdi
Software development, performance testing, load testing
Hipersaite
http://ceur-ws.org/Vol-2218/paper23.pdf

Kampars, J., Jokste, L., Grabis, J. High Performance Recommendation and Adaptation Platform for Enterprise Applications. No: BIR-WS 2018 [online] : BIR Short Papers, Workshops and Doctoral Consortium : Joint Proceedings of the BIR 2018 Short Papers, Workshops and Doctoral Consortium co-located with 17th International Conference "Perspectives in Business Informatics Research" (BIR 2018). CEUR Workshop Proceedings. Vol.2218, Zviedrija, Stockholm, 24.-26. septembris, 2018. Aachen: RWTH, 2018, 239.-244.lpp. ISSN 1613-0073.

Publikācijas valoda
English (en)