Intelligent tourism recommender systems: A survey

J Borràs, A Moreno, A Valls - Expert systems with applications, 2014 - Elsevier
Recommender systems are currently being applied in many different domains. This paper
focuses on their application in tourism. A comprehensive and thorough search of the smart e …

A comprehensive survey on travel recommender systems

K Chaudhari, A Thakkar - Archives of computational methods in …, 2020 - Springer
Travelling is a combination of journey, transportation, travel-time, accommodation, weather,
events, and other aspects which are likely to be experienced by most of the people at some …

Towards emotion-aware recommender systems: an affective coherence model based on emotion-driven behaviors

M Polignano, F Narducci, M de Gemmis… - Expert Systems with …, 2021 - Elsevier
Decision making is the cognitive process of identifying and choosing alternatives based on
preferences, beliefs, and degree of importance given by the decision maker to objects or …

A collaborative location based travel recommendation system through enhanced rating prediction for the group of users

L Ravi, S Vairavasundaram - Computational intelligence and …, 2016 - Wiley Online Library
Rapid growth of web and its applications has created a colossal importance for
recommender systems. Being applied in various domains, recommender systems were …

Systematic review of contextual suggestion and recommendation systems for sustainable e-tourism

HU Rehman Khan, CK Lim, MF Ahmed, KL Tan… - Sustainability, 2021 - mdpi.com
Agenda 2030 of Sustainable Development Goals (SDGs) 9 and 11 recognizes tourism as
one of the central industries to global development to tackle global challenges. With the …

A chat-based group recommender system for tourism

TN Nguyen, F Ricci - Information Technology & Tourism, 2018 - Springer
Group recommender systems are information filtering and decision support applications that
are aimed at aiding a group of users in making decisions when they are considering a set of …

[PDF][PDF] Approaches, issues and challenges in recommender systems: a systematic review

B Kumar, N Sharma - … of science and …, 2016 - sciresol.s3.us-east-2.amazonaws …
Objectives: Today the recommendation technology has managed to achieve a distinct place
in the modern and fascinating world of e-commerce applications as it helps the user in …

Selective contextual information acquisition in travel recommender systems

M Braunhofer, F Ricci - Information Technology & Tourism, 2017 - Springer
Context-aware recommender systems are information filtering and decision support
applications that generate recommendations by exploiting context-dependent user …

Combining reinforcement learning and spatial proximity exploration for new user and new poi recommendations

D Massimo, F Ricci - Proceedings of the 31st ACM Conference on User …, 2023 - dl.acm.org
Tourism Recommender Systems (TRSs) are unable to properly suggest new points of
interest (POIs) to new users, ie, to solve the combined new user and new item problem. To …

User personality and the new user problem in a context-aware point of interest recommender system

M Braunhofer, M Elahi, F Ricci - … in Tourism 2015: Proceedings of the …, 2015 - Springer
The new user problem is an important and challenging issue that Context-Aware
Recommender Systems (CARSs) must deal with, especially in the early stage of their …