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 …
Deep learning-based collaborative filtering recommender systems: A comprehensive and systematic review
Nowadays, the volume of online information is growing and it is difficult to find the required
information. Effective strategies such as recommender systems are required to overcome …
information. Effective strategies such as recommender systems are required to overcome …
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 two-stage embedding model for recommendation with multimodal auxiliary information
J Ni, Z Huang, Y Hu, C Lin - Information Sciences, 2022 - Elsevier
Recommender system has recently received a lot of attention in the information service
community. In many application scenarios, such as Internet of Things (IoTs) environments …
community. In many application scenarios, such as Internet of Things (IoTs) environments …
Efficient driver anomaly detection via conditional temporal proposal and classification network
Detecting driver inattentive behaviors is crucial for driving safety in a driver monitoring
system (DMS). Recent works treat driver distraction detection as a multiclass action …
system (DMS). Recent works treat driver distraction detection as a multiclass action …
POI recommendation method using LSTM-attention in LBSN considering privacy protection
K Wang, X Wang, X Lu - Complex & Intelligent Systems, 2023 - Springer
Aiming at the problems of traditional point of interest (POI), such as sparse data, lack of
negative feedback, and dynamic and periodic changes of user preferences, a POI …
negative feedback, and dynamic and periodic changes of user preferences, a POI …
Memory augmented hierarchical attention network for next point-of-interest recommendation
Next point-of-interest (POI) recommendation has been an important task for location-based
intelligent services. However, the application of such promising technique is still limited due …
intelligent services. However, the application of such promising technique is still limited due …
POI Recommendation Method Using Deep Learning in Location‐Based Social Networks
Y Liu, A Wu - Wireless Communications and Mobile Computing, 2021 - Wiley Online Library
To solve the problems of large data sparsity and lack of negative samples in most point of
interest (POI) recommendation methods, a POI recommendation method based on deep …
interest (POI) recommendation methods, a POI recommendation method based on deep …
A deceptive reviews detection method based on multidimensional feature construction and ensemble feature selection
Deceptive reviews on social media and e-commerce websites are inflammatory and will
significantly affect the judgment and purchase behavior of other users. At present, many …
significantly affect the judgment and purchase behavior of other users. At present, many …
Towards safety and sustainability: designing local recommendations for post-pandemic world
The COVID-19 pandemic has made it paramount to maintain social distance to limit the viral
transmission probability. At the same time, local businesses (eg, restaurants, cafes, stores …
transmission probability. At the same time, local businesses (eg, restaurants, cafes, stores …