Context-aware recommender systems for social networks: review, challenges and opportunities
AB Suhaim, J Berri - IEEE Access, 2021 - ieeexplore.ieee.org
Context-aware recommender systems dedicated to online social networks experienced
noticeable growth in the last few years. This has led to more research being done in this …
noticeable growth in the last few years. This has led to more research being done in this …
Recommender systems applied to the tourism industry: a literature review
A Solano-Barliza, I Arregocés-Julio… - Cogent Business & …, 2024 - Taylor & Francis
Recommender systems-RS-have experienced exponential growth in various fields,
especially in the tourism sector, improving tourism activities' accuracy, personalization, and …
especially in the tourism sector, improving tourism activities' accuracy, personalization, and …
A survey on deep learning based Point-of-Interest (POI) recommendations
Abstract Location-based Social Networks (LBSNs) enable users to socialize with friends and
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …
acquaintances by sharing their check-ins, opinions, photos, and reviews. A huge volume of …
A hybrid probabilistic multiobjective evolutionary algorithm for commercial recommendation systems
As big-data-driven complex systems, commercial recommendation systems (RSs) have
been widely used in such companies as Amazon and Ebay. Their core aim is to maximize …
been widely used in such companies as Amazon and Ebay. Their core aim is to maximize …
A systematic analysis on the impact of contextual information on point-of-interest recommendation
As the popularity of Location-based Social Networks increases, designing accurate models
for Point-of-Interest (POI) recommendation receives more attention. POI recommendation is …
for Point-of-Interest (POI) recommendation receives more attention. POI recommendation is …
Learning heterogeneous temporal patterns of user preference for timely recommendation
Recommender systems have achieved great success in modeling user's preferences on
items and predicting the next item the user would consume. Recently, there have been many …
items and predicting the next item the user would consume. Recently, there have been many …
Modified node2vec and attention based fusion framework for next POI recommendation
The rise of location-based services has led to the widespread adoption of location-based
social networks (LBSNs), which play a vital role in making recommendations for the next …
social networks (LBSNs), which play a vital role in making recommendations for the next …
Points of interest recommendations: methods, evaluation, and future directions
The emergence of Location-based social networks (LBSNs) in recent years has boosted
improvements in Recommender Systems for a new and specific task: the recommendation of …
improvements in Recommender Systems for a new and specific task: the recommendation of …
A survey on point-of-interest recommendation in location-based social networks
The popularization of Location-based social networks (LBSNs) in last years has provided a
lot of improvements in several Recommender Systems to the task of points-of-interest (POI) …
lot of improvements in several Recommender Systems to the task of points-of-interest (POI) …
Spatio-temporal position-extended and gated-deep network for next POI recommendation
The next point of interest (POI) recommendation uses the user's check-in information on
location-based social networks to make recommendations. The existing methods based on …
location-based social networks to make recommendations. The existing methods based on …