Over the past 10 years, it has been witnessed that tremendous growth of Web services as a major technology for sharing data, computing resources, and programs on the Web. With the drastic evolution, adoption and presence of Web services, design of novel approaches for effective Web service recommendation to satisfy users’ potential requirements has become of paramount importance. Existing Web s...

The emergence of Internet and web services made a tremendous impact on the data retrieval of the users. The users are sophisticated to utilize the web services based on the recommendation systems. There are various categories of recommendation system reported in the literature. Web Service Recommender Systems (WSRS) based on Collaborative Filtering (CF) achieves best Quality of Service (QoS) re...

Quality of Service (QoS) directly reflects the degree to which services offered by providers satisfy non-functional requirements users. QoS information is not usually available as a priori when recommending user queries, this creates uncertainty in offering right queries. Recent researches service recommendation and management mainly address issues sparse data prediction personalized recommenda...

With the popularity and widespread adoption of SOA (Service-Oriented Architecture), number Web services has increased exponentially. Users tend to use online for their daily business software development needs. large service candidates, recommending desirable that meet users’ personalized QoS (Quality Service) requirements becomes a challenging research issue, as preference is usually difficult...

Web service mining has become one of the promising areas of Service Oriented Architecture. Web service discovery methods include syntactic based system and semantic based system. Recommender system plays a vital role in recommending a product to customer, seldom used for web service recommendation. A variety of techniques have been proposed for performing recommendation namely, content-based, c...

QoS prediction plays an important role in Web service recommendation. Many existing Web service QoS prediction approaches are highly accurate and useful in Internet environments. However, the QoS data of Web service in mobile Internet is notably more volatile, which makes these approaches fail in making accurate QoS predictions of Web services. In this paper, by weakening the volatility of QoS ...

The availability of enormous numbers of mobile applications (apps) is driving demand for the means to search for, recommend, and manage apps. Existing search engines provide basic search functionalities that enable users to find apps by issuing query keywords; however, the ranking of search results does not always satisfy the expectations of users. This study proposes a novel approach to addres...

Abstract In the ever-increasing diversity of cloud environment, recommendation web service-related applications based on service quality is a basic tasks that both providers and developers are very interested in. A key challenge how to get personalized accurate QoS values services from multi-source information users/services. addition, complex contexts multi-tasking attributes also make collabo...