• Publications
  • Influence
Integrated Content and Network-Based Service Clustering and Web APIs Recommendation for Mashup Development
TLDR
We propose an integrated content and network-based service clustering and Web APIs recommendation method for Mashup development. Expand
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AWSR: Active Web Service Recommendation Based on Usage History
TLDR
We present Active Web Service Recommendation, an effective Web service recommendation system based on users' usage history to actively recommend Web services to users. Expand
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Mashup Service Recommendation Based on User Interest and Social Network
TLDR
We present an approach to recommend Mashup services to users based on user interest and social network of services. Expand
  • 73
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A Service-Oriented Qos-Assured and Multi-Agent Cloud Computing Architecture
TLDR
This paper propose a new Service-Oriented QOS-Assured cloud computing architecture which include physical device and virtual resource layer, cloud service provision layer, Cloud service management and multi-agent layer to support QOS -Assured Cloud service provision and request. Expand
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WE-LDA: A Word Embeddings Augmented LDA Model for Web Services Clustering
TLDR
We propose, in this paper, an augmented LDA model (named WE-LDA) which leverages the high-quality word vectors to improve the performance of Web services clustering. Expand
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Diversifying Web Service Recommendation Results via Exploring Service Usage History
TLDR
The last decade has witnessed a tremendous growth of web services as a major technology for sharing data, computing resources, and programs on the web. Expand
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  • PDF
CSCF: A Mashup Service Recommendation Approach based on Content Similarity and Collaborative Filtering
TLDR
This paper proposes a Mashup service recommendation approach based on Content Similarity and Collaborative Filtering, named as CSCF, and the experiments are performed to validate the feasibility and effectiveness. Expand
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Domain-aware Mashup service clustering based on LDA topic model from multiple data sources
TLDR
This paper proposes a novel domain-aware Mashup service clustering method with high accuracy and good efficiency by exploiting LDA topic model built from multiple data sources, to improve the quality of Mashup-based software development. Expand
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Mashup Service Clustering Based on an Integration of Service Content and Network via Exploiting a Two-Level Topic Model
TLDR
We propose a Mashup service clustering method based on an integration of service content and network via exploiting a two-level topic model to mine latent topics for representing functional features of Mashup services. Expand
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Scheduling workflows with privacy protection constraints for big data applications on cloud
Abstract Nowadays, business or scientific processes with massive big data in Cyber-Physical-Social environments are springing up in cloud. Cloud customers’ private information stored in cloud may beExpand
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