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 Xiaohui Hu

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Average citations per article1.50
Citation Count9
Publication count6
Publication years2014-2017
Available for download4
Average downloads per article58.50
Downloads (cumulative)234
Downloads (12 Months)102
Downloads (6 Weeks)10
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6 results found Export Results: bibtexendnoteacmrefcsv

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1 published by ACM
June 2017 ACM Transactions on Internet Technology (TOIT) - Special Issue on Argumentation in Social Media and Regular Papers: Volume 17 Issue 3, July 2017
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 6,   Downloads (12 Months): 89,   Downloads (Overall): 143

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The data sparsity problem has attracted significant attention in collaborative filtering-based recommender systems. To alleviate data sparsity, several previous efforts employed hybrid approaches that incorporate auxiliary data sources into recommendation techniques, like content, context, or social relationships. However, due to privacy and security concerns, it is generally difficult to collect ...
Keywords: Recommender system, data sparsity, personalization, rating prediction, similarity reinforcement

2
June 2015 ICWS '15: Proceedings of the 2015 IEEE International Conference on Web Services
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 3

Quality of Service (QoS) has been widely used for personalized Web service recommendation. Since QoS information usually cannot be predetermined, how to make personalized QoS prediction precisely becomes a challenge of Web service recommendation. Time series forecasting and collaborative filtering are two mainstream technologies for QoS prediction. However, on one ...
Keywords: Web service recommendation, QoS prediction, ARIMA, Kalman filtering, collaborative filtering

3 published by ACM
November 2014 INTERNETWARE 2014: Proceedings of the 6th Asia-Pacific Symposium on Internetware on Internetware
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 3,   Downloads (Overall): 15

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Due to the increase in web services, non-functional or QoS parameters have been widely addressed. QoS-aware service selection is commonly formulated as an optimization problem aimed at achieving the execution plan that optimize the overall QoS parameter of the composed application while satisfying all the constraints on individual QoS parameters ...
Keywords: Quality of service, service composition, optimization

4 published by ACM
November 2014 CrowdSoft 2014: Proceedings of the 1st International Workshop on Crowd-based Software Development Methods and Technologies
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 1,   Downloads (12 Months): 5,   Downloads (Overall): 46

Full text available: PDFPDF
QoS-aware service composition has been widely addressed. When the optimal execution plan is determined, previous work generally assumes that the QoS attributes of component services are static for simplicity. Due to the ignorance of the dynamic nature of web services, the performance of a composed service is only partially evaluated. ...
Keywords: Quality of service, probability theory, service composition

5 published by ACM
November 2014 CrowdSoft 2014: Proceedings of the 1st International Workshop on Crowd-based Software Development Methods and Technologies
Publisher: ACM
Bibliometrics:
Citation Count: 0
Downloads (6 Weeks): 2,   Downloads (12 Months): 5,   Downloads (Overall): 30

Full text available: PDFPDF
With the rapid development of Internet, Internetware has attracted a lot of attention as a new promising computing paradigm. Internetware can evolve continuously during runtime with the changes of its environment, thus to achieve higher software performance and customer satisfaction. So it is important to develop effective Internetware context awareness ...
Keywords: Internetware, context management, context awareness, context ontology, multilayered architecture

6
June 2014 ICWS '14: Proceedings of the 2014 IEEE International Conference on Web Services
Publisher: IEEE Computer Society
Bibliometrics:
Citation Count: 6

With the incessant growth of Web services on the Internet, designing effective Web service recommendation technologies based on Quality of Service (QoS) is becoming more and more important. Neighborhood-based Collaborative Filtering has been widely used for Web service recommendation, in which similarity measurement and QoS prediction are two key steps. ...
Keywords: Web service recommendation, time information, data sparsity, hybrid personalized random walk



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