A hybrid method for recommendation systems based on tourism with an evolutionary algorithm and topsis model

S Forouzandeh, M Rostami… - Fuzzy Information and …, 2022 - ieeexplore.ieee.org
Recommender systems have been pervasively applied as a technique of suggesting travel
recommendations to tourists. Actually, recommendation systems significantly contribute to …

A survey on Point-of-Interest recommendations leveraging heterogeneous data

Z Wang, W Höpken, D Jannach - Information Technology & Tourism, 2025 - Springer
Tourism is an important application domain for recommender systems. In this domain,
recommender systems are for example tasked with providing personalized …

A hotel recommender system for tourists using the Artificial Bee Colony Algorithm and Fuzzy TOPSIS Model: a case study of tripadvisor

S Forouzandeh, K Berahmand, E Nasiri… - International Journal of …, 2021 - World Scientific
Recommendation systems play an indispensable role in tourists' decision-making process.
An important issue for tourists concerns the selection of accommodation in accordance with …

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 …

An integrated recommender system for multi-day tourist itinerary

F Ghobadi, A Divsalar, H Jandaghi, RB Nozari - Applied Soft Computing, 2023 - Elsevier
Planning a personalized itinerary that satisfies the preferences and limitations of a tourist
can be a complex task. The challenge is further compounded by the lack of information …

[PDF][PDF] User Preference Elicitation, Rating Sparsity and Cold Start.

M Elahi, M Braunhofer, T Gurbanov, F Ricci - 2018 - researchgate.net
A prerequisite for implementing collaborative filtering recommender systems is the
availability of users' preferences data. This data, typically in the form of ratings, is exploited …

A context model for IDE-based recommendation systems

M Gasparic, GC Murphy, F Ricci - Journal of Systems and Software, 2017 - Elsevier
Context, as modeled through variables called contextual factors, can improve human-
computer interaction. To date, in applications supporting software development, such as …

[PDF][PDF] Recommender system for Users of Internet of Things (IOT)

S Forouzandeh, AR Aghdam, M Barkhordari… - IJCSNS, 2017 - researchgate.net
Summary The evolution of Information Technology caused a new concept called “Internet of
Things”(IOT) wherein some devices meet user needs in the form of online manner. Servers …

An intelligent support system to help teachers plan field trips

N Mauro, L Ardissono, F Cena, L Scarpinati… - International Journal of …, 2024 - Springer
Field trips enrich learning programs with out-of-school activities that can bring gains in
students' academic content knowledge and personal growth. However, they are a source of …

Exploring semantically interlaced cultural heritage narratives

N Mauro, A Geninatti Cossatin, E Cravero… - Proceedings of the 33rd …, 2022 - dl.acm.org
While traditional mobile guides propose itineraries underlying the presentation of individual
narrations, a broad view of Cultural Heritage should take into account that Points of Interests …