AI-based mobile context-aware recommender systems from an information management perspective: Progress and directions
Abstract In the Artificial Intelligence (AI) field, and particularly within the area of Machine
Learning (ML), recommender systems have attracted significant research attention. These …
Learning (ML), recommender systems have attracted significant research attention. These …
Semantic trajectory analytics and recommender systems in cultural spaces
Semantic trajectory analytics and personalised recommender systems that enhance user
experience are modern research topics that are increasingly getting attention. Semantic …
experience are modern research topics that are increasingly getting attention. Semantic …
A cognition-centered personalization framework for cultural-heritage content
The heterogeneity of the audience of cultural heritage institutions introduces numerous
challenges to the delivery of the content. Considering that people differ in the way they …
challenges to the delivery of the content. Considering that people differ in the way they …
Neural click models for recommender systems
We develop and evaluate neural architectures to model the user behavior in recommender
systems (RS) inspired by click models for Web search but going beyond standard click …
systems (RS) inspired by click models for Web search but going beyond standard click …
Genders prediction from indoor customer paths by Levenshtein-based fuzzy kNN
Companies have an advantage over the competitors if they can present customized offers to
customers. Demographic information of customers is critical for the companies to develop …
customers. Demographic information of customers is critical for the companies to develop …
Modeling Tourists' Personality in Recommender Systems: How Does Personality Influence Preferences for Tourist Attractions?
Personalization is increasingly being perceived as an important factor for the effectiveness
of Recommender Systems (RS). This is especially true in the tourism domain, where …
of Recommender Systems (RS). This is especially true in the tourism domain, where …
Comparing recommender systems using synthetic data
M Slokom - Proceedings of the 12th ACM Conference on …, 2018 - dl.acm.org
In this work, we propose SynRec, a data protection framework that uses data synthesis. The
goal is to protect sensitive information in the user-item matrix by replacing the original values …
goal is to protect sensitive information in the user-item matrix by replacing the original values …
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 …
Modeling a mobile group recommender system for tourism with intelligent agents and gamification
To provide recommendations to groups of people is a complex task, especially due to the
group's heterogeneity and conflicting preferences and personalities. This heterogeneity is …
group's heterogeneity and conflicting preferences and personalities. This heterogeneity is …
Gender prediction from classified indoor customer paths by fuzzy C-medoids clustering
Customer oriented systems provides advantages to companies in competitive environment.
Understanding customers is a fundamental problem to present individualized offers. Gender …
Understanding customers is a fundamental problem to present individualized offers. Gender …