Proceedings ArticleDOI
A Web Service Recommender System Using Enhanced Syntactical Matching
M.B. Blake,Michael F. Nowlan +1 more
- pp 575-582
TLDR
This work introduces a web service recommender system that proactively discovers and manages web services and finds insights into how real web service messages are defined, and focuses on the underlying search and ranking algorithms that enable the recommendations.Abstract:
Service-oriented computing (SOC) enables organizations and individual users to discover openly-accessible capabilities realized as services over the Internet. However, service registries can potentially be very large preventing organizations from discovering services in real-time. In fact, consumers may not be aware of the services that can be of most benefit to them. In our work, we introduce a web service recommender system that proactively discovers and manages web services. This paper focuses on the underlying search and ranking algorithms that enable the recommendations. As an innovation, we have analyzed real, fully-operational web services currently available on the Internet and, as a result, have discovered insights into how real web service messages are defined. Using these general naming tendencies coupled with enhanced syntactical methods, we are able to aggregate services by their messages and accurately suggest candidate services to users as a part of daily routines.read more
Citations
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Proceedings ArticleDOI
RegionKNN: A Scalable Hybrid Collaborative Filtering Algorithm for Personalized Web Service Recommendation
TL;DR: Experimental results demonstrate that apart from being highly scalable, RegionKNN provides considerable improvement on the recommendation accuracy by comparing with other well-known collaborative filtering algorithms.
Journal ArticleDOI
Personalized QoS-Aware Web Service Recommendation and Visualization
TL;DR: This work proposes a novel collaborative filtering algorithm designed for large-scale web service recommendation that employs the characteristic of QoS and achieves considerable improvement on the recommendation accuracy.
Journal ArticleDOI
Unified Collaborative and Content-Based Web Service Recommendation
TL;DR: This paper proposes a novel approach that unifies collaborative filtering and content-based recommendation of web services using a probabilistic generative model, which outperforms the state-of-the-art methods on recommendation performance.
Journal ArticleDOI
Social network-based service recommendation with trust enhancement
TL;DR: A social network-based service recommendation method with trust enhancement known as RelevantTrustWalker, utilizing a matrix factorization method to assess the degree of trust between users in social network and an extended random walk algorithm to obtain recommendation results.
Journal ArticleDOI
Personalized Web Service Recommendation via Normal Recovery Collaborative Filtering
TL;DR: A new similarity measure for web service similarity computation is presented and a novel collaborative filtering approach is proposed, called normal recovery collaborative filtering, for personalized web service recommendation that achieves better accuracy than other competing approaches.
References
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Semantic Web services
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Proceedings ArticleDOI
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TL;DR: This paper introduces an extended service oriented architecture that provides separate tiers for composing and coordinating services and for managing services in an open marketplace by employing grid services.
Book ChapterDOI
A survey of automated web service composition methods
Jinghai Rao,Xiaomeng Su +1 more
TL;DR: An overview of recent research efforts of automatic Web service composition both from the workflow and AI planning research community is given.
Book ChapterDOI
Similarity search for web services
TL;DR: Woogle supports similarity search for web services, such as finding similar web-service operations and finding operations that compose with a given one, and novel techniques to support these types of searches are described.
Journal ArticleDOI
Composing Web services on the Semantic Web
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