In a Web service-based sampling system (WSSS) with multiple smart sensors, where the
smart sensors request the sampling-commands (SCs) from the Web server with polling …

With the growing number of functionally similar services over the Internet, recommendation
techniques become a natural choice to cope with the challenging task of optimal service …

At present, Mashup development has attracted much attention in the field of software
engineering. It is the focus of this article to use existing open APIs to meet the needs of …

The purpose of recommendation systems is to help users find effective information quickly
and conveniently and also to present the items that users are interested in. While the …

This paper presents a new technique for contextual item-to-item Collaborative Filtering-
based Recommender System, an improved version popularised by e-commerce giant …

Abstract Recommending appropriate APIs for Mashup creation has become a challenge as
the number of APIs from different sources grows fast. In order to understand the relationships …

Trust prediction facilitates the day-to-day functionality of diverse web-based applications,
such as recommendation systems, market advertising and anomaly detection. However …

Reliable Internet of Things (IoT) service discovery is a significant task in intelligent service-
oriented IoT systems. Collaborative filtering (CF) turns out to be an effective solution to IoT …

With the rapid development of MOOC platforms, MOOC resources have grown substantially,
causing the problem of information overload. It is difficult for users to select the courses they …

Conversational recommendation is ubiquitous in e-commerce, while three-way
recommendation provides friendly choices for service providers and users. However, their …