A location-aware GIServices quality prediction model via collaborative filtering

References

• Breese, J. S., D. Heckerman, and C. Kadie. 1998. “Empirical Analysis of Predictive Algorithms for Collaborative Filtering.” Proceedings of the fourteenth conference on Uncertainty in Artificial Intelligence, July 24–26, 43–52. Madison, WI: Morgan Kaufmann.
   Google Scholar
• Cao, B., M. Tang, and X. Huang. 2014. “CSCF: A Mashup Service Recommendation Approach Based on Content Similarity and Collaborative Filtering.” International Journal of Grid and Distributed Computing 7 (2): 163–172. doi:10.14257/ijgdc.2014.7.2.15.
   Google Scholar
• Chen, X., X. Liu, Z. Huang, and H. Sun. 2010. “Regionknn: A Scalable Hybrid Collaborative Filtering Algorithm for Personalized Web Service Recommendation.” Proceedings of IEEE 2010 international conference on Web Services, July 5–10, 9–16. Miami, FL: IEEE.
   Google Scholar
• Chen, X., Z. Zheng, Q. Yu, and M. R. Lyu. 2014. “Web Service Recommendation via Exploiting Location and QoS Information.” IEEE Transactions on Parallel and Distributed Systems 25: 1913–1924. doi: 10.1109/TPDS.2013.308
   Web of Science ®Google Scholar
• Deshpande, M., and G. Karypis. 2004. “Item-based Top-n Recommendation Algorithms.” ACM Transactions on Information Systems (TOIS) 22 (1): 143–177. doi: 10.1145/963770.963776
   Web of Science ®Google Scholar
• Gao, R., and Q. Wu. 2012. “Research on Building Model of Geographic Information Services Quality.” Geomatics & Spatial Information Technology 35 (9): 145–147.
   Google Scholar
• Gui, Z., J. Cao, X. Liu, X. Cheng, and H. Wu. 2016. “Global-scale Resource Survey and Performance Monitoring of Public OGC Web Map Services.” ISPRS International Journal of Geo-Information 5: 88. doi: 10.3390/ijgi5060088
   Web of Science ®Google Scholar
• Dong, X., A. Halevy, J. Madhavan, E. Nemes, and J. Zhang. 2004. “Similarity Search for Web Services.” Proceedings of the thirtieth international conference on Very Large Data Bases, VLDB Endowment, Toronto, Canada, August 31–September 3, 372–383.
   Google Scholar
• Huang, Z., D. Zeng, and H. Chen. 2007. “A Comparison of Collaborative-Filtering Recommendation Algorithms for e-Commerce.” IEEE Intelligent Systems 22 (5): 68–78. doi: 10.1109/MIS.2007.4338497
   Web of Science ®Google Scholar
• Jiang, Y., J. Liu, M. Tang, and X. Liu. 2011. “An Effective Web Service Recommendation Method Based on Personalized Collaborative Filtering.” Proceedings of 2011 IEEE international conference on Web Services, July 4–9, 211–218. Washington, DC: IEEE. doi:10.1109/ICWS.2011.38.
   Google Scholar
• Li, Z., C. Yang, H. Wu, W. Li, and L. Miao. 2011. “An Optimized Framework for Seamlessly Integrating OGC Web Services to Support Geospatial Sciences.” International Journal of Geographical Information Science 25 (4): 595–613. doi:10.1080/13658816.2010.484811.
   Web of Science ®Google Scholar
• Li, W., C. Yang, and C. Yang. 2010. “An Active Crawler for Discovering Geospatial Web Services and Their Distribution Pattern – A Case Study of OGC Web Map Service.” International Journal of Geographical Information Science 24 (8): 1127–1147. doi:10.1080/13658810903514172.
   Web of Science ®Google Scholar
• Linden, G., B. Smith, and J. York. 2003. “Amazon.com Recommendations: Item-to-Item Collaborative Filtering.” IEEE Internet Computing 7 (1): 76–80. doi: 10.1109/MIC.2003.1167344
   Web of Science ®Google Scholar
• Liu, T. 2011. “Research on Key Technologies About Composite Service Dynamic Selection, Deployment Optimization and Execution.” Doctoral diss., Fudan University.
   Google Scholar
• Liu, L, J. Fang, and D. Liang. 2013. “A Model for Heterogeneous Quality Evaluation of Geographic Web Service.” IEEE 21st international conference on Geoinformatics, Kaifeng, China, 1–5.
   Google Scholar
• Liu, J., T. Zhou, and B. Wang. 2009. “Review on Personalized Recommendation System.” Progress in Natural Science 19 (1): 1–15. doi: 10.1016/j.pnsc.2008.06.004
   Web of Science ®Google Scholar
• Ma, H., I. King, and M. R. Lyu. 2007. “Effective Missing Data Prediction for Collaborative Filtering.” Proceedings of the 30th annual international ACM SIGIR conference on Research and Development in Information Retrieval, July 23–27, 39–46. Amsterdam: ACM. doi:10.1145/1277741.1277751.
   Google Scholar
• McLaughlin, M., and J. Herlocker. 2004. “A Collaborative Filtering Algorithm and Evaluation Metric That Accurately Model the User Experience.” Proceedings of the 27th annual international ACM SIGIR conference on Research and Development in Information Retrieval, July 25–29, 329–336. Sheffield: ACM. doi:10.1145/1008992.1009050.
   Google Scholar
• Onchaga, R. 2004. “Modelling for Quality of Services in Distributed Geoprocessing.” ISPRS Proceeding, Istanbul.
   Google Scholar
• Patel, P., A. H. Ranabahu, and A. P. Sheth. 2009. Service Level Agreement in Cloud Computing. http://corescholar.libraries.wright.edu/knoesis/78.
   Google Scholar
• Sarwar, B., G. Karypis, J. Konstan, and J. Riedl. 2001. “Item-based Collaborative Filtering Recommendation Algorithms.” Proceedings of ACM 2001: the 10th international conference on World Wide Web, Hong Kong, May 1–5, 285–295.
   Google Scholar
• Shani, G., D. Heckerman, and R. I. Brafman. 2005. “An MDP-based Recommender System.” Journal of Machine Learning Research 6: 1265–1295.
   Web of Science ®Google Scholar
• Shao, L., J. Zhang, Y. Wei, J. Zhao, B. Xie, and H. Mei. 2007. “Personalized QoS Prediction for Web Services Via Collaborative Filtering.” Proceedings of IEEE 2007 international conference on Web Services, July 9–13, 140–152. Salt Lake City, UT: IEEE.
   Google Scholar
• Shen, S., W. Liu, H. Wu, and Y. Chen. 2009. “A Multi-level Comprehensive Evaluation Method for Quality of WMS Based on Fuzzy Mathematics.” Proceedings of 2009 17th international conference on Geoinformatics, August 12–14. IEEE. doi:10.1109/GEOINFORMATICS.2009.5293530.
   Google Scholar
• Shen, S., H. Wu, T. Zhang, and Z. Liu. 2012. “Geographical Information Catalog Service Supporting Active Registry and Real-Time Quality Monitoring.” Geomatics and Information Science of Wuhan University 37 (5): 525–528.
   Google Scholar
• Shen, S., T. Zhang, H. Wu, and Z. Liu. 2012. “A Catalogue Service for Internet GIServices Supporting Active Service Evaluation and Real-Time Quality Monitoring.” Transactions in GIS 16 (6): 745–761. doi: 10.1111/j.1467-9671.2012.01363.x
   Web of Science ®Google Scholar
• Tang, M., Y. Jiang, J. Liu, and X. Liu. 2012. “Location-aware Collaborative Filtering for QoS-based Service Recommendation.” IEEE 19th international conference on Web Services, Honolulu, June 24–29, 202–209. doi:10.1109/ICWS.2012.61.
   Google Scholar
• Wen, Y., M. Chen, G. Lu, and H. Lin. 2013. “Prototyping an Open Environment for Sharing Geographical Analysis Models on Cloud Computing Platform.” International Journal of Digital Earth 6 (4): 356–382. doi: 10.1080/17538947.2012.716861
   Web of Science ®Google Scholar
• Wen, Y., M. Chen, S. Yue, P. Zheng, G. Peng, and G. Lu. 2017. “A Model-Service Deployment Strategy for Collaboratively Sharing Geo-analysis Models in an Open Web Environment.” International Journal of Digital Earth 10 (4), 405–425. doi:10.1080/17538947.2015.1131340.
   Web of Science ®Google Scholar
• Wu, H., and H. Zhang. 2007. “QoGIS: Concept and Research Framework.” Geomatics and Information Science of Wuhan University 32 (5): 385–388.
   Google Scholar
• Wu, H., Z. Li, H. Zhang, C. Yang, and S. Shen. 2011. “Monitoring and Evaluating the Quality of Web Map Service Resources for Optimizing Map Composition Over the Internet to Support Decision Making.” Computers & Geosciences 37 (4): 485–494. doi: 10.1016/j.cageo.2010.05.026
   Web of Science ®Google Scholar
• Wu, G., J. Wei, X. Qiao, and L. Li. 2007. “A Bayesian Network Based QoS Assessment Model for Web Services.” Proceedings of 2007 IEEE international conference on Services Computing, Salt Lake City, UT, July 9–13.
   Google Scholar
• Wu, S., M. Zhang, Q. Huang, C. Wan, J. Cao, Z. Gui, and K. Qin. 2015. “Design a Web Portal for Visualizing and Exploring Service Quality of Global OGC Web Map Services.” Proceedings of IEEE 2015: 23rd international conference on Geoinformatics, Wuhan, China, July 19–21, 1–5.
   Google Scholar
• Wu, H, H. Zhang, X. Liu, and X. Sun. 2005. “Adaptive Architecture of Geospatial Information Service Over the Internet with QOGIS Embedded.” Proceedings of the International Society of Photogrammetry and Remote Sensing (ISPRS) Workshop on Service and Application of Spatial Data Infrastructure, XXXVI (4/W6), Hangzhou, China, 53–57.
   Google Scholar
• Yu, C., and L. Huang. 2016. “A Web Service QoS Prediction Approach Based on Time- and Location-Aware Collaborative Filtering.” Service Oriented Computing and Applications 10: 135–149. doi: 10.1007/s11761-014-0168-4
   Web of Science ®Google Scholar
• Yue, S., M. Chen, Y. Wen, and G. Lu. 2016. “Service-oriented Model-Encapsulation Strategy for Sharing and Integrating Heterogeneous Geo-Analysis Models in an Open Web Environment.” ISPRS Journal of Photogrammetry and Remote Sensing 114: 258–273. doi: 10.1016/j.isprsjprs.2015.11.002
   Web of Science ®Google Scholar
• Yue, S., Y. Wen, M. Chen, G. Lu, D. Hu, and F. Zhang. 2015. “A Data Description Model for Reusing, Sharing and Integrating Geo-Analysis Models.” Environmental Earth Sciences 74 (1): 7081–7099. doi: 10.1007/s12665-015-4270-5
   Web of Science ®Google Scholar
• Zhang, L., B. Zhang, L. Huang, and Z. Zhu. 2013. “A Personalized Web Service Quality Prediction Approach Based on Invoked Feature Model.” Journal of Computer Research and Development 50 (5): 1066–1075.
   Google Scholar
• Zheng, Z., H. Ma, M. Lyu, and I. King. 2011. “QoS-aware Web Service Recommendation by Collaborative Filtering.” IEEE Transactions on Services Computing 4: 140–152. doi: 10.1109/TSC.2010.52
   Web of Science ®Google Scholar
• Zheng, Z., H. Ma, M. Lyu, and I. King. 2009. “WSRec: A Collaborative Filtering Based Web Service Recommender System.” Proceedings of IEEE 2009 international conference on Web Services, Los Angeles, CA, July 6–10, 437–444.
   Google Scholar