1 AIT Asian Institute of Technology

A recommender system for improving web services discovery

AuthorNguyen Ngoc Chan
Call NumberAIT Thesis no.CS-09-09
Subject(s)Web services

NoteA thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology
PublisherAsian Institute of Technology
Series StatementThesis ; no. CS-09-09
AbstractWeb services are getting more and more diverse and people may get confused with thouĀ¬sands of web services returned from search engines or crawlers whenever they want to find a web service for their purposes. This problem has impulsed researches on proposĀ¬ing a web service recommender system to lead users to expected items while hiding unnecessary ones. Most of proposed solutions analyzed query strings and web service descriptions to give recommendations. However, text based analysis mostly depends on user's perspective, languages and notations which easily decrease the performance of algorithms. Moreover, new published web services often have lower priorities to be selected for recommendations. To overcome those problems, our research focuses on constructing a recommender system based on user's interactions. We propose two algorithms which are used for generating recommendations based on the principle of collaborative filtering. Additionally, we propose another algorithm to assign priorities for new comming web services to enhance web service discovery.
Year2009
Corresponding Series Added EntryAsian Institute of Technology. Thesis ; no. CS-09-09
TypeThesis
SchoolSchool of Engineering and Technology (SET)
DepartmentDepartment of Information and Communications Technologies (DICT)
Academic Program/FoSComputer Science (CS)
Chairperson(s)Vilas Wuwongse
Examination Committee(s)Janecek, Paul;Gaaloul, Walid;Defude, Bruno
Scholarship Donor(s)Ministry of Education and Training of Vietnam France Governement
DegreeThesis (M.Eng.) - Asian Institute of Technology, 2009


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