The huge amount of research papers on the web makes finding a relevant manuscript a
difficult task. In recent years many models were introduced to support researchers by …

Recommender systems have been widely used in various domains including movies, news,
music with an aim to provide the most relevant proposals to users from a variety of available …

It is crucial to provide compatible treatment schemes for a disease according to various
symptoms at different stages. However, most classification methods might be ineffective in …

Graph-based recommendation approaches use a graph model to represent the
relationships between users and items, and exploit the graph structure to make …

Next (or successive) point-of-interest (POI) recommendation, which aims to predict where
users are likely to go next, has recently emerged as a new research focus of POI …

Location-based social networks (LBSNs) have emerged over the past few years. Their
exponential network effects depend on the fact that each user can share her daily digital …

Link prediction is a technique to forecast future new or missing relationships between
entities based on the current network information. Graph theory and network science are …

Recommender systems have been used since the beginning of the Web to assist users with
personalized suggestions related to past preferences for items or products including books …

The remarkable progress of machine learning has led to some state-of-the-art algorithms in
personalized recommendation. Previous recommendation algorithms generally learn users' …

Recently, the increasing availability of digital cameras and the rapid advances in social
media have led to the accumulation of a large number of geotagged photos, which may …