There exist situations of decision-making under information overload in the Internet, where
people have an overwhelming number of available options to choose from, eg products to …

With the widespread popularization of social network platforms, user-generated content and
other social network data are growing rapidly. It is difficult for social users to select interested …

With the rapid development of the Internet and new media, the enormous data from social
media and other public platforms have attracted increasing attention to user behavior …

Recommender systems are a valuable means for online users to find items of interest in
situations when there exists a large set of alternatives. Collaborative Filtering (CF) is a …

This paper explores the potentials of recommender systems for learning from a
psychological point of view. It is argued that main features of recommender systems …

Recommender systems have greatly evolved in recent years and have become an integral
part of the Web. From e-commerce sites to mobile apps, our daily routine revolves around a …

Online dating sites have become popular platforms for people to look for potential romantic
partners. Different from traditional user-item recommendations where the goal is to match …

With the development of e-commerce, a growing number of people prefer to purchase
medicine online for the sake of convenience. However, it is a serious issue to purchase …

People-to-people recommenders constitute an important class of recommender systems.
Examples include online dating, where people have the common goal of finding a partner …

Query personalization has emerged as a means to handle the issue of information volume
growth, aiming to tailor query answer results to match the goals and interests of each user …