Purpose In recent times, the growing use of electronic word of mouth (eWOM) has attracted
consumers, organizations and marketers alike. The objective of this study is to summarize …

Recommender Systems are currently highly relevant for helping users deal with the
information overload they suffer from the large volume of data on the web, and automatically …

Communication platforms are undergoing a transition from physical to digital spaces. The
Internet has radically changed the business scenario wherein people have become the …

With the rapid prevalence of smart mobile devices and the dramatic proliferation of location-
based social networks (LBSNs), location-based recommendation has become an important …

Point-of-interest (POI) recommendation has become an important way to help people
discover attractive and interesting places, especially when they travel out of town. However …

Heterogenous information network embedding aims to embed heterogenous information
networks (HINs) into low dimensional spaces, in which each vertex is represented as a low …

Cold-start problem is a fundamental challenge for recommendation tasks. Despite the recent
advances on Graph Neural Networks (GNNs) incorporate the high-order collaborative signal …

Recommending users with their preferred points-of-interest (POIs), eg, museums and
restaurants, has become an important feature for location-based social networks (LBSNs) …

Point-of-Interest recommendation is an essential means to help people discover attractive
locations, especially when people travel out of town or to unfamiliar regions. While a …

Collaborative filtering (CF) has become one of the most popular and widely used methods in
recommender systems, but its performance degrades sharply for users with rare interaction …