With the growing popularity of web services, more and more developers are composing
multiple services into mashups. Developers show an increasing interest in non-popular …

Mashups are a dominant approach for building data-centric applications, especially mobile
applications, in recent years. Since mashups are predominantly based on public data …

Driven by Service-Oriented Computing techniques, time-aware service recommendation
aims to support personalized mashup development, adapting to the rapid shifts of users' …

Over the last decade, service selection and recommendation had been two strongly related
service filtering steps. While service selection aims to filter the best available services …

Web services are products in the era of service-oriented computing and cloud computing.
Considering the information overload problem arising from the task of selecting web …

Recommendation system (RS) is designed to provide personalized services based on the
users' historical data. It has been applied in various fields and is expected to recommend the …

Nowadays, a huge number of available Web services offer the same functionalities and a
high quality of service, which makes the selection of suitable services a difficult task. In such …

An increasing number of services are being offered which leads to difficulties in choosing
appropriate services during mashup development. Currently, several service …

Recent years have witnessed the growing research interest in the Context-Aware
Recommender System (CARS). CARS for Web service provides opportunities for exploring …

Service recommendation for composition creation is a widely applied technique, which
expedites mashup development by reusing existing services. The core of service …