Recommender Systems (RS) play an integral role in enhancing user experiences by
providing personalized item suggestions. This survey reviews the progress in RS inclusively …

Agriculture applications rely on accurate land monitoring, especially paddy areas, for timely
food security control and support actions. However, traditional monitoring requires field …

Network alignment, the problem of identifying similar nodes across networks, is an emerging
research topic due to its ubiquitous applications in many data domains such as social …

Today's social networks continuously generate massive streams of data, which provide a
valuable starting point for the detection of rumours as soon as they start to propagate …

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 …

A series of graph filtering (GF)-based collaborative filtering (CF) showcases state-of-the-art
performance on the recommendation accuracy by using a low-pass filter (LPF) without a …

The aggregation of group members' profiles is an extremely important step in group
recommender systems, as it represents the whole group as a single virtual user, and is the …

With the advancement of internet technology, customers increasingly rely on online reviews
as a valuable source of information. The study aims to develop a marketing data analytics …

Recommender system is one of the most popular technique used for information filtering. It
helps in discovering hidden knowledge patterns from a large set of ubiquitous products and …

Internet protocol TV (IPTV) services could enhance personalized viewing experience in a
more interactive way than traditional broadcast TV systems, but it is still difficult for …