In this technical survey, the latest advancements in the field of recommender systems are
comprehensively summarized. The objective of this study is to provide an overview of the …

Nowadays, sequential recommendations are becoming more prevalent. A user expects the
system to remember past interactions and not conduct each recommendation round as a …

A key group decision making task is to aggregate individual preferences. Conventional
group decision methods adopt pre-defined and fixed strategies to aggregate individuals' …

Sequential recommender systems aim to model users' changing interests based on their
historical behavior and predict what they will be interested in at the next moment. In recent …

In the multifaceted landscape of social networks, user behaviors manifest in various
patterns, contributing to the diversity of group behaviors. Current research on group …

The growth of music streaming market is expected to be boosted by the rising use of smart
devices and the streaming platforms in the forecast period. Music recommendation systems …

This research proposes a novel strategy for constructing a knowledge-based recommender
system (RS) based on both structured data and unstructured text data. We present its …

Purpose The purpose of this study is to investigate how book group recommendations can
be used as a meaningful way to suggest suitable books to users, given the increasing …

Recently, a new type of social network, the event-based social network (EBSN), has become
popular. Typical EBSN platforms include Meetup, Plancast, Doublan, etc. In an EBSN …

Product recommendation systems have become an effective tool to help users make choices
under information overload. For sequence recommendation, the user's dynamic preferences …