2014 IEEE 11th International Conference on E-Business Engineering 2014
DOI: 10.1109/icebe.2014.66
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Cited by 3 publications
(3 citation statements)
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“…(1) memory-based CF A comprehensive service recommendation approach WSRec is put forward in [7], which combines user-based and item-based CF together. As service quality heavily depends on service invocation time, in order to make accurate service recommendation, a time-aware recommendation approach is brought forth in [8].…”
Section: B Cf-based Service Recommendationmentioning
confidence: 99%
See 1 more Smart Citation
“…(1) memory-based CF A comprehensive service recommendation approach WSRec is put forward in [7], which combines user-based and item-based CF together. As service quality heavily depends on service invocation time, in order to make accurate service recommendation, a time-aware recommendation approach is brought forth in [8].…”
Section: B Cf-based Service Recommendationmentioning
confidence: 99%
“…In order to alleviate the service selection burden of target users, various service recommendation techniques are brought forth in the last decade, e.g., widely adopted collaborative filtering (i.e., CF)-based recommendation [4][5][6][7]. Through considering the historical user-service quality data, traditional CF-based recommendation approaches (including memory-based CF, model-based CF and hybrid CF) can predict target users' personalized preferences and further make accurate service recommendation.…”
Section: Introductionmentioning
confidence: 99%
“…QoS-aware web by collaborative filtering [5] proposed a collaborative approach to rank providers on the basis of its web services. This method is useful for the customers who want to get an appropriate cloud provider which provides suitable web services.…”
Section: Related Workmentioning
confidence: 99%