Communications of the ACM
A vector space model for automatic indexing
Communications of the ACM
Modern Information Retrieval
Semantic Matching of Web Services Capabilities
ISWC '02 Proceedings of the First International Semantic Web Conference on The Semantic Web
Communications of the ACM - E-services: a cornucopia of digital offerings ushers in the next Net-based evolution
Evaluating collaborative filtering recommender systems
ACM Transactions on Information Systems (TOIS)
A Vector Space Search Engine forWeb Services
ECOWS '05 Proceedings of the Third European Conference on Web Services
Dynamic Selection of Web Services with Recommendation System
NWESP '05 Proceedings of the International Conference on Next Generation Web Services Practices
Improving Web Service Discovery with Usage Data
IEEE Software
Similarity search for web services
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Study of an Algorithm of Web Service Matching Based on Semantic Web Service
ALPIT '07 Proceedings of the Sixth International Conference on Advanced Language Processing and Web Information Technology (ALPIT 2007)
Introduction to Information Retrieval
Introduction to Information Retrieval
Web Services Discovery Based on Latent Semantic Approach
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
Latent Semantic Analysis --- The Dynamics of Semantics Web Services Discovery
Advances in Web Semantics I
WSRec: A Collaborative Filtering Based Web Service Recommender System
ICWS '09 Proceedings of the 2009 IEEE International Conference on Web Services
A New Web Services Matching Algorithm
IUCE '09 Proceedings of the 2009 International Symposium on Intelligent Ubiquitous Computing and Education
A framework for understanding Latent Semantic Indexing (LSI) performance
Information Processing and Management: an International Journal - Special issue: Formal methods for information retrieval
Web service discovery based on past user experience
BIS'07 Proceedings of the 10th international conference on Business information systems
UsageQoS: Estimating the QoS of Web Services through Online User Communities
ACM Transactions on the Web (TWEB)
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The tremendous growth in the amount of available web services impulses many researchers on proposing recommender systems to help users discover services. Most of the proposed solutions analyzed query strings and web service descriptions to generate recommendations. However, these text-based recommendation approaches depend mainly on user's perspective, languages and notations which easily decrease recommendation's efficiency. In this paper, we present our approach in which we take into account historical usage data instead of the text based analysis. We apply collaborative filtering technique on user's interactions. We propose and implement three algorithms based on Vector Space Model to validate our approach. We also provide evaluation methods based on the precision, recall and root mean square error in order to compare and assert the efficiency of our algorithms.