[PDF][PDF] Classifications of recommender systems: A review.
This paper presents the state of art techniques in recommender systems (RS). The various
techniques are diagrammatically illustrated which on one hand helps a naïve researcher in …
techniques are diagrammatically illustrated which on one hand helps a naïve researcher in …
Deep information fusion-driven POI scheduling for mobile social networks
With the growing importance of green wireless communications, point-of-interest (POI)
scheduling in the mobile social network (MSN) environment has become important in …
scheduling in the mobile social network (MSN) environment has become important in …
An experimental evaluation of point-of-interest recommendation in location-based social networks
Point-of-interest (POI) recommendation is an important service to Location-Based Social
Networks (LBSNs) that can benefit both users and businesses. In recent years, a number of …
Networks (LBSNs) that can benefit both users and businesses. In recent years, a number of …
Social networks and information retrieval, how are they converging? A survey, a taxonomy and an analysis of social information retrieval approaches and platforms
MR Bouadjenek, H Hacid, M Bouzeghoub - Information Systems, 2016 - Elsevier
There is currently a number of research work performed in the area of bridging the gap
between Information Retrieval (IR) and Online Social Networks (OSN). This is mainly done …
between Information Retrieval (IR) and Online Social Networks (OSN). This is mainly done …
Context-aware recommender systems
G Adomavicius, A Tuzhilin - Recommender systems handbook, 2010 - Springer
The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce personalization, information …
practitioners in many disciplines, including e-commerce personalization, information …
[PDF][PDF] Effective community search over large spatial graphs
Communities are prevalent in social networks, knowledge graphs, and biological networks.
Recently, the topic of community search (CS) has received plenty of attention. Given a query …
Recently, the topic of community search (CS) has received plenty of attention. Given a query …
Adaptive reverse graph learning for robust subspace learning
Subspace learning decreases the dimensions for high-dimensional data by projecting the
original data into a low-dimensional subspace, as well as preserving the similarity among …
original data into a low-dimensional subspace, as well as preserving the similarity among …
Context-aware recommender systems: From foundations to recent developments
The importance of contextual information has been recognized by researchers and
practitioners in many disciplines, including e-commerce, personalization, information …
practitioners in many disciplines, including e-commerce, personalization, information …
Heterogeneous blockchain and AI-driven hierarchical trust evaluation for 5G-enabled intelligent transportation systems
The fifth-generation (5G) wireless communication technology enables high-reliability and
low-latency communications for the Intelligent Transportation System (ITS). However, the …
low-latency communications for the Intelligent Transportation System (ITS). However, the …
Modeling location-based user rating profiles for personalized recommendation
This article proposes LA-LDA, a location-aware probabilistic generative model that exploits
location-based ratings to model user profiles and produce recommendations. Most of the …
location-based ratings to model user profiles and produce recommendations. Most of the …