Tourism recommendation system based on semantic clustering and sentiment analysis
Numerous number of tourism attractions along with a huge amount of information about
them on web and social platforms have made the decision-making process for selecting and …
them on web and social platforms have made the decision-making process for selecting and …
CAFOB: Context-aware fuzzy-ontology-based tourism recommendation system
The ever-increasing volume of information available on tourist attractions in cyberspace has
made the tourist decision-making process a crucial task. Therefore, tourism recommendation …
made the tourist decision-making process a crucial task. Therefore, tourism recommendation …
A novel Sequence-Aware personalized recommendation system based on multidimensional information
Due to the rapid growth of the information overload issue, recommender systems have
become necessary and are implemented in numerous facets of human life, including the …
become necessary and are implemented in numerous facets of human life, including the …
Context-and category-aware double self-attention model for next POI recommendation
Abstract Point-of-Interest (POI) recommender systems can effectively assist users to find their
preferred POIs. Recent studies mainly focus on extracting users' dynamic context from their …
preferred POIs. Recent studies mainly focus on extracting users' dynamic context from their …
A hybrid recommender system using topic modeling and prefixspan algorithm in social media
Route schema is difficult to plan for tourists, because they demand to pick points of interest
(POI) in unknown areas that align with their preferences and limitations. This research …
(POI) in unknown areas that align with their preferences and limitations. This research …
DTCRSKG: A deep travel conversational recommender system incorporating knowledge graph
H Fang, C Chen, Y Long, G Xu, Y **ao - Mathematics, 2022 - mdpi.com
In the era of information explosion, it is difficult for people to obtain their desired information
effectively. In tourism, a travel recommender system based on big travel data has been …
effectively. In tourism, a travel recommender system based on big travel data has been …
Deep pairwise learning for user preferences via dual graph attention model in location-based social networks
W Gong, K Zheng, S Zhang, P Hu - Expert Systems with Applications, 2023 - Elsevier
The rapid growth of location-based social networks (LBSN) has generated massive multi-
mode entities such as users, locations and social topics, as well as multi-relationships …
mode entities such as users, locations and social topics, as well as multi-relationships …
Implementation of personalized scenic spot recommendation algorithm based on generalized regression neural network for 5G smart tourism system
S Lin - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
On the basis of the analysis of the evolution dynamics and the process of smart tourism
service, this paper constructs the evolutionary game model of smart tourism service and …
service, this paper constructs the evolutionary game model of smart tourism service and …
A multi-task embedding based personalized POI recommendation method
Point of interest (POI) recommendation can help people explore new regions. Existing
methods tend to exploit different information to improve recommendation performance …
methods tend to exploit different information to improve recommendation performance …
Memory-aware gated factorization machine for top-N recommendation
Factorization machine (FM) has recently become one of the most popular methods in
collaborative filtering due to its flexibility of incorporating auxiliary information, eg, user …
collaborative filtering due to its flexibility of incorporating auxiliary information, eg, user …