In recent years, with the development of technology, the shopping approach of people has
moved towards pervasive online social shopping. As a result, how to create a …

With rapidly increasing information on the Internet, it can be more difficult and time
consuming to find what one really wants, especially in e-commerce. Systems and methods …

Abstract Cyber-physical Social Network (CPSN) becomes an essential component of daily
life. In recent years, CPSN has dragged millions of users to convey their social opinions. It is …

With the increasing popularity of online review systems, a large volume of user-generated
content becomes available to help people make reasonable judgments about the quality of …

Today, the trust has turned into one of the most beneficial solutions to improve recommender
systems, especially in the collaborative filtering method. However, trust statements suffer …

Smart services are a concept that provides services to the citizens in an efficient manner.
The online shopping and recommender system can play an important role for smart cities in …

Point-of-interest (POI) recommendations in location-based social networks (LBSNs) allow
online users to discover various POIs for social activities occurring in the near future close to …

Recently, there has been growing interest in social network analysis. Graph models for
social network analysis are usually assumed to be a deterministic graph with fixed weights …

The existing online medical platforms are striving to provide various kinds of services to
satisfy users' dynamic demands. With the exponential growth of information, users usually …

Rating prediction is a key task of e-commerce recommendation mechanisms. Recent studies
in social recommendation enhance the performance of rating predictors by taking advantage …