Location and Qos based Web Service Recommender System
نویسندگان
چکیده
منابع مشابه
Location and Qos based Web Service Recommender System
Web services are the components usually called as integrated software components which support the interoperable machine-to-machine interaction over any network. In today’s world, the availability of web services is increasing actively. A recommender system is presented that helps the users to select services with good Quality-of-Service (QoS) performance. This recommender system extracts the i...
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Quality of service (QoS) is an important issue in the design and management of web service composition. QoS in web services consists of various non-functional factors, such as execution cost, execution time, availability, successful execution rate, and security. In recent years, the number of available web services has proliferated, and then offered the same services increasingly. The same web ...
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Since, most of the organizations present their services electronically, the number of functionally-equivalent web services is increasing as well as the number of users that employ those web services. Consequently, plenty of information is generated by the users and the web services that lead to the users be in trouble in finding their appropriate web services. Therefore, it is required to provi...
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Service-oriented architecture facilitates the running time of interactions by using business integration on the networks. Currently, web services are considered as the best option to provide Internet services. Due to an increasing number of Web users and the complexity of users’ queries, simple and atomic services are not able to meet the needs of users; and to provide complex services, it requ...
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The number of web services with similar functionality increases which makes the service users depend on web service recommendation systems. During these days it was found that the service users pay more attention on the non-functional properties which are also known as Quality Of Service (QoS) in selecting a best Web Service. Collaborative filtering methods are used in predicting the QoS values...
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ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2015
ISSN: 0975-8887
DOI: 10.5120/ijca2015907637