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Recommendation on Uncertain Services
2010 IEEE International Conference on Web Services, 2010In this paper, we propose a time-sensitive probability skyline (TPS) approach to recommend services with uncertainty. We project services to n-dimensional data space and recommend services in TPS. Experimental evaluation on real data shows the great performance of TPS in service recommendation by comparing the experiment result with results of other ...
Liang Chen 0001 +4 more
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Proceedings of the 9th International Conference on Utility and Cloud Computing, 2016
Cloud computing provides on-demand resources with no constraints of physical locations. It allows customers to save upfront infrastructure costs and focus on features that discriminate their core businesses. The increasing number of offered services makes manual selection of the most suitable service for an application deployment time-consuming and ...
Sima Soltani +2 more
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Cloud computing provides on-demand resources with no constraints of physical locations. It allows customers to save upfront infrastructure costs and focus on features that discriminate their core businesses. The increasing number of offered services makes manual selection of the most suitable service for an application deployment time-consuming and ...
Sima Soltani +2 more
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Recommending a Credible Web Service
2015 IEEE International Conference on Web Services, 2015The explosive growth of Internet Web services has intensified the study of Service-oriented Computing (SOC). The recommendation of a Web service has become extremely common. Current approaches utilize the Quality of Service (QoS), which is based on the performance of the Web service.
Jiaxiang Ge +3 more
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Taxonomy for Personalized Recommendation Service
2008 International Symposium on Electronic Commerce and Security, 2008The amount of information in the world is increasing far more quickly than our ability to process it. Recommender systems are used by e-commerce sites to suggest products to their customers and to provide consumers with information to help them determine which products to purchase.
Li Yu, Ming Dong, Rong Wang
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A Robust Service Recommendation Scheme
2013 IEEE International Conference on Services Computing, 2013In service computing, the quality of service (QoS) has been used to distinguish different services. Many service recommendation schemes predict how a customer might rate the QoS of various services. Based on the predicted ratings, they recommend services to the customer. Most of these schemes do not consider the unfair rating problem. As the QoS rating
Xinfeng Ye +2 more
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Best offer recommendation service
2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016There are multiple online offer aggregators, which can aggregate deals, coupons and offers from multiple parties. However, these aggregators generally cannot determine the best deal/s available among the existing deals. Many deals or coupons specify the percentage of discount or cashback on purchase of the item using the user's credit card, where the ...
Kiran Gajanan Javkar +4 more
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Domain-Aware Service Recommendation for Service Composition
2014 IEEE International Conference on Web Services, 2014Service compositions inherently require multiple services each with its domain-specific functionality. Therefore, how to mine matching patterns between services in relevant domains and compositions becomes crucial to service recommendation for composition.
Bofei Xia +6 more
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Using Context Similarity for Service Recommendation
2010 IEEE Fourth International Conference on Semantic Computing, 2010Recommender systems have been successfully used to address the problem of information overload, where consumers of goods and services have too many choices and overwhelming amount of information about each choice. Here we focus on service recommendation and demonstrate the need for using multiple criteria regarding service qualities, and the need to ...
Liu L., Lecue F., Mehandjiev N., Xu L.
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2013
The problem of information overload has been coped with through the use of recommendation systems in information retrieval for ages. During the era of Web 2.0 and e-commerce, recommendation systems have become more than information filtering and relevance matching tools for users and service providers.
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The problem of information overload has been coped with through the use of recommendation systems in information retrieval for ages. During the era of Web 2.0 and e-commerce, recommendation systems have become more than information filtering and relevance matching tools for users and service providers.
openaire +1 more source
Mobile Services Recommendation
2020The overwhelming amount of services makes it difficult for users to find appropriate services to meet their functional and non-functional requirements. Therefore, the service recommendation technique becomes an important role in helping using services.
Shuiguang Deng, Hongyue Wu, Jianwei Yin
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