Trustworthy recommender systems
Recommender systems (RSs) aim at hel** users to effectively retrieve items of their
interests from a large catalogue. For a quite long time, researchers and practitioners have …
interests from a large catalogue. For a quite long time, researchers and practitioners have …
A survey on Point-of-Interest recommendations leveraging heterogeneous data
Tourism is an important application domain for recommender systems. In this domain,
recommender systems are for example tasked with providing personalized …
recommender systems are for example tasked with providing personalized …
Exploring the evolution, progress, and future of point-of-interest recommendation over location-based social network: a comprehensive review
Location-based social networks (LBSNs) have bridged the gap between the virtual and real
worlds by allowing users to share their preferences and behaviors digitally. Point-of-Interest …
worlds by allowing users to share their preferences and behaviors digitally. Point-of-Interest …
Understanding the influence of data characteristics on the performance of point-of-interest recommendation algorithms
Abstract Point-of-interest (POI) recommendations are essential for travelers and the e-
tourism business. They assist in decision-making regarding what venues to visit and where …
tourism business. They assist in decision-making regarding what venues to visit and where …
Promoting sustainable tourism by recommending sequences of attractions with deep reinforcement learning
Abstract Develo** Recommender Systems (RSs) is particularly interesting in the tourist
domain, where one or more attractions have to be suggested to users based on preferences …
domain, where one or more attractions have to be suggested to users based on preferences …
Challenges for anonymous session-based recommender systems in indoor environments
A Ferrato - Proceedings of the 17th ACM Conference on …, 2023 - dl.acm.org
In the last two decades, recommender systems have become more popular since they can
provide personalized recommendations in different fields. However, the current research …
provide personalized recommendations in different fields. However, the current research …
Simulation of recommender systems driven tourism promotion campaigns
With overtourism becoming an increasingly widespread problem, it is becoming more and
more important to better analyse trends of tourists' arrivals in a region, and to foresee the …
more important to better analyse trends of tourists' arrivals in a region, and to foresee the …
Avoiding Decision Fatigue with AI-Assisted Decision-Making
JM Echterhoff, A Melkote, S Kancherla… - Proceedings of the 32nd …, 2024 - dl.acm.org
During online browsing, eg when looking to select a movie to watch, we are often confronted
with multiple rejection-selection steps which can lead to tens or hundreds of decisions made …
with multiple rejection-selection steps which can lead to tens or hundreds of decisions made …
ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability
Recommender systems can help web users find more relevant content, improve their online
experience, and support them in the discovery of new Points-of-Interest (POI). Yet …
experience, and support them in the discovery of new Points-of-Interest (POI). Yet …
[PDF][PDF] Cold-start Management in POI Recommendation via Reinforcement Learning and Spatial Proximity Exploration.
In this abstract we summarise the research presented in a paper appearing in the
proceedings of the 31st ACM Conference on User Modeling, Adaptation and …
proceedings of the 31st ACM Conference on User Modeling, Adaptation and …