On some method for limited services selection

There are various approaches to solve the problem of services selection according to user request. Usually, ontology-based filtering is used. The problem occurs if the service can be run a limited number of times and the number of users interested in service execution is higher than the number of possible service executions. In this work we propose the knowledge-based algorithm for limited services selection. It is assumed that knowledge of users is used to determine priorities that are used in a process of services selection. The users' priorities are obtained using clustering and classification methods. The results of testing the accuracy of classifiers for users' priorities determining and the quality of the algorithm for limited services selection are presented.

[1]  Valeria De Antonellis,et al.  Capability Matching and Similarity Reasoning in Service Discovery , 2005, EMOI-INTEROP.

[2]  Yoav Freund,et al.  Experiments with a New Boosting Algorithm , 1996, ICML.

[3]  Piero A. Bonatti,et al.  On optimal service selection , 2005, WWW '05.

[4]  Jun Zhang,et al.  Simlarity Search for Web Services , 2004, VLDB.

[5]  Valeria De Antonellis,et al.  Flexible Semantic-Based Service Matchmaking and Discovery , 2008, World Wide Web.

[6]  Jordi Torres,et al.  Web Customer Modeling for Automated Session Prioritization on High Traffic Sites , 2007, User Modeling.

[7]  Jonathan L. Herlocker,et al.  Evaluating collaborative filtering recommender systems , 2004, TOIS.

[8]  Leo Breiman,et al.  Bagging Predictors , 1996, Machine Learning.

[9]  Matthias Klusch,et al.  OWLS-MX: A hybrid Semantic Web service matchmaker for OWL-S services , 2009, J. Web Semant..

[10]  Alfred Kobsa,et al.  Personalised hypermedia presentation techniques for improving online customer relationships , 2001, The Knowledge Engineering Review.

[11]  John Scott.  What is social network analysis , 2010 .

[12]  S. C. Hui,et al.  Data mining for customer service support , 2000, Inf. Manag..

[13]  Ian Witten,et al.  Data Mining , 2000 .

[14]  Maciej Zięba,et al.  Services Recommendation in Systems Based on Service Oriented Architecture by Applying Modified ROCK Algorithm , 2010, NDT.

[15]  Raúl Rojas,et al.  Neural Networks - A Systematic Introduction , 1996 .