Tourism recommender system based on cognitive similarity between cross-cultural users
Nowadays, the speedy increasing information in tourism services since a massive amount of
data is constructed by tourists experiences. The recommendation systems are widely …
data is constructed by tourists experiences. The recommendation systems are widely …
Attraction recommendation: Towards personalized tourism via collective intelligence
J Shen, C Deng, X Gao - Neurocomputing, 2016 - Elsevier
Travel recommendation systems can tackle the problem of information overload and
recommend proper attractions on the basis of users׳ preferences. Most existing travel …
recommend proper attractions on the basis of users׳ preferences. Most existing travel …
Tourism recommender system using machine learning based on user's public instagram photos
C Srisawatsakul, W Boontarig - 2020-5th International …, 2020 - ieeexplore.ieee.org
In the past decade, recommender systems have become an essential part of online services
such as NetFlix, YouTube, online shopping, etc. The tourism agencies such as TripAdvisor …
such as NetFlix, YouTube, online shopping, etc. The tourism agencies such as TripAdvisor …
Exploring hybrid recommender systems for personalized travel applications
R Logesh, V Subramaniyaswamy - Cognitive Informatics and Soft …, 2019 - Springer
The recent research in the recommender systems domain has attracted many researchers
due to its increasing demands in the real world. To bridge the real-world issues of the users …
due to its increasing demands in the real world. To bridge the real-world issues of the users …
[PDF][PDF] DBCACF: a multidimensional method for tourist recommendation based on users' demographic, context and feedback
M Kolahkaj, A Harounabadi, A Nikravanshalmani… - Inf Syst Telecommun, 2019 - jist.ir
By the advent of applications in the web 2.0 such as social networks which allow the users to
share media, numerous opportunities have been provided for the tourists to recognize and …
share media, numerous opportunities have been provided for the tourists to recognize and …
Dynamic Adaptation of User Preferences and Results in a Destination Recommender System
AN Noubari, W Wörndl - arXiv preprint arXiv:2302.09803, 2023 - arxiv.org
Studying human factors has gained a lot of interest in recommender systems research
recently. User experience plays a vital role in tourism recommender systems since user …
recently. User experience plays a vital role in tourism recommender systems since user …
A personalized heritage-oriented recommender system based on extended cultural tourist typologies
M Konstantakis, G Alexandridis… - Big Data and Cognitive …, 2020 - mdpi.com
Recent developments in digital technologies regarding the cultural heritage domain have
driven technological trends in comfortable and convenient traveling, by offering interactive …
driven technological trends in comfortable and convenient traveling, by offering interactive …
RecTour 2019: workshop on recommenders in tourism
The Workshop on Recommenders in Tourism (RecTour) 2019, which is held in conjunction
with the 13th ACM Conference on Recommender Systems (RecSys), addresses specific …
with the 13th ACM Conference on Recommender Systems (RecSys), addresses specific …
User preference multi-criteria recommendations using neural collaborative filtering methods
K Nithin Goud, YV Ramanjaneyulu… - Proceedings of the Sixth …, 2021 - Springer
Traditional recommendation systems work with a single rating provided by a user on an
item. However, in many domains such as tourism, hotels, etc., a user would love to give …
item. However, in many domains such as tourism, hotels, etc., a user would love to give …
THOR: A hybrid recommender system for the personalized travel experience
One of the travelers' main challenges is that they have to spend a great effort to find and
choose the most desired travel offer (s) among a vast list of non-categorized and non …
choose the most desired travel offer (s) among a vast list of non-categorized and non …