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Efficient Web Service Reliability Prediction Using Collaborative Filtering (CROSBI ID 668109)

Prilog sa skupa u zborniku | prošireni sažetak izlaganja sa skupa

Kurdija, Adrian Satja ; Šilić, Marin ; Delač, Goran ; Vladimir, Klemo ; Srbljić, Siniša Efficient Web Service Reliability Prediction Using Collaborative Filtering // Abstract Book Second International Workshop on Data Science Zagreb, Croatia, November 30, 2017. 2017. str. 62-63

Podaci o odgovornosti

Kurdija, Adrian Satja ; Šilić, Marin ; Delač, Goran ; Vladimir, Klemo ; Srbljić, Siniša

engleski

Efficient Web Service Reliability Prediction Using Collaborative Filtering

Service users perceive different Quality of Service (QoS) properties while accessing various services on the Internet depending on their actual invocation context. A partial past invocation sample can be gained by gathering users’ feedback while accessing services, and by collecting records about service invocations by monitoring service providers. When past invocations for a given user-service pair are absent, prediction models that utilize the similarities between users and/or services (collaborative filtering) are applied. On the basis of the prediction model’s output, the recommendation engine can select the most appropriate service candidates for the user with respect to predicted QoS properties.

Quality of Service ; reliability prediction ; collaborative filtering

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Podaci o prilogu

62-63.

2017.

objavljeno

Podaci o matičnoj publikaciji

Abstract Book Second International Workshop on Data Science Zagreb, Croatia, November 30, 2017

Podaci o skupu

2nd Int'l Workshop on Data Science (IWDS 2017)

poster

30.11.2017-30.11.2017

Zagreb, Hrvatska

Povezanost rada

Računarstvo