Recommender systems have become an essential tool to help resolve the information
overload problem in recent decades. Traditional recommender systems, however, suffer …

Collaborative filtering is one of the most used approaches for providing recommendations in
various online environments. Even though collaborative recommendation methods have …

Trust can help participants in online social communities to make decisions; however, it is a
challenge for systems to map trust into computational models because of its subjective …

The present study explores sources of distrust in the Airbnb context. The study focuses on
Airbnb customers' negative reviews posted in English on Trustpilot's website. The search for …

Trust is an essential element in building relationships between different parties and contexts.
Online dispute resolutions rely on temporary relationships to be successful, making trust a …

It has become progressively more evident that a single data source is unable to
comprehensively capture the variability of a multi-faceted concept, such as product design …

Trust plays a crucial role in cloud environment to offer reliable services to the cloud
customers. It is the main reason for the popularity of services among the cloud consumers …

One of the most used approaches for providing recommendations in various online
environments such as e-commerce is collaborative filtering. Although, this is a simple …

Recommender systems are techniques to make personalized recommendations of items to
users. In e-commerce sites and online sharing communities, providing high quality …

Mobile/spatial crowdsourcing is a class of crowdsourcing applications in which workers
travel to specific locations in order to perform tasks. As workers may possess different levels …