TY - GEN
T1 - A web service recommendation system based on users' reputations
AU - Furusawa, Yu
AU - Sugiki, Yuta
AU - Hishiyama, Reiko
PY - 2011/11/28
Y1 - 2011/11/28
N2 - In recent years, as the Internet spreads, the use of the Web Service has increased, and it has diversified. The Web Service is registered with UDDI, and the user selects service there and can use it for the provider by making a demand. In future, if the Web Service comes to be used more widely, the number of Web Services will increase, and the number of registrations at the UDDI will also increase. The user examines the large number of available services, and needs to choose the service that best matches their purpose. Quality of Service (QoS) is used as an index when a user chooses a service. Many studies show that the scoring of QoS for service selection is important. Quality of Service is registered by the provider and is treated as an objective factor. However, subjective evaluation, the evaluation of the user after the service use, is also needed to choose the best service. In this study, we use a new element, evaluation, in addition to QoS for service selection. We have expanded the existing filtering technique to make a new way of recommending services. Our method incorporates subjective evaluation. With this model, we apply the technique of information filtering to the Web Service recommendation and make an agent. Also, we simulate it after having clarified the behavior and tested it. The results of testing show that the model provides high levels of precision.
AB - In recent years, as the Internet spreads, the use of the Web Service has increased, and it has diversified. The Web Service is registered with UDDI, and the user selects service there and can use it for the provider by making a demand. In future, if the Web Service comes to be used more widely, the number of Web Services will increase, and the number of registrations at the UDDI will also increase. The user examines the large number of available services, and needs to choose the service that best matches their purpose. Quality of Service (QoS) is used as an index when a user chooses a service. Many studies show that the scoring of QoS for service selection is important. Quality of Service is registered by the provider and is treated as an objective factor. However, subjective evaluation, the evaluation of the user after the service use, is also needed to choose the best service. In this study, we use a new element, evaluation, in addition to QoS for service selection. We have expanded the existing filtering technique to make a new way of recommending services. Our method incorporates subjective evaluation. With this model, we apply the technique of information filtering to the Web Service recommendation and make an agent. Also, we simulate it after having clarified the behavior and tested it. The results of testing show that the model provides high levels of precision.
UR - http://www.scopus.com/inward/record.url?scp=81855219063&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=81855219063&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-25044-6_41
DO - 10.1007/978-3-642-25044-6_41
M3 - Conference contribution
AN - SCOPUS:81855219063
SN - 9783642250439
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 508
EP - 519
BT - Agents in Principle, Agents in Practice - 14th International Conference, PRIMA 2011, Proceedings
T2 - 14th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2011
Y2 - 16 November 2011 through 18 November 2011
ER -