The purpose of this study is to identify, summarize, and systematically compare various
clustering and association rule techniques for web service discovery and recommendation …

With an growing number of web services available on the Internet, an increasing burden is
imposed on the use and management of service repository. Service clustering has been …

The rapid development of the Internet in recent years has led to a vast increase in the
numbers of Web services, which challenge users' capability to find their favorite services …

Normally web services are classified originate in on the quality of service, wherever the term
quality is not absolute and it is a relative term. The quality of web services is measured or …

This paper proposes a self-adaptive mobile web service (MWS) discovery framework for a
dynamic mobile environment (DME) to deal with MWS proliferation, dynamic context, and …

With the expansion of the Internet, the number of available Web services has increased.
Web service clustering to identify functionally similar clusters has become a major approach …

Web services similarity measure is an important problem in service computing area, which is
the technological foundation of service substitution, service discovery, service …

Web service recommendation in an efficient and accurate manner has become a significant
tool with information overload and an increasingly urgent demand to provide appropriate …

The brevity of service function descriptions often results in feature sparsity and
incompleteness of service function vectors generated by topic models. To improve the …

In the advent of the twenty-first century, human beings began to closely interact with
technology. Today, technology is developing, and as a result, the world wide web (www) has …