Recommender systems are vital ingredients for many e-commerce services. In the literature,
two of the most popular approaches are based on factorization and graph-based models; …

Given a signed directed network, how can we learn node representations which fully encode
structural information of the network including sign and direction of edges? Node …

Travelling is a critical component of daily life. With new technology, personalized travel route
recommendations are possible and have become a new research area. A personalized …

It has been proved that long noncoding RNA (lncRNA) plays critical roles in many human
diseases. Therefore, inferring associations between lncRNAs and diseases can contribute to …

In this “info-plosion” era, recommendation systems (or recommenders) play a significant role
in finding interesting items in the surge of online digital activities and e-commerce. Several …

Hypergraphs are an omnipresent data structure used to represent high-order interactions
among entities. Given a hypergraph H wherein nodes are associated with attributes …

Contextual bandit algorithms are applied in a wide range of domains, from advertising to
recommender systems, from clinical trials to education. In many of these domains, malicious …

Along with the development of several emerging computing paradigms and information
communication technologies, it is said that cyber computing technology is playing an …

How can we accurately recommend actions for users to control their devices at home?
Action recommendation for smart home has attracted increasing attention due to its potential …

How can we recommend cold-start bundles to users? The cold-start problem in bundle
recommendation is crucial because new bundles are continuously created on the Web for …