
OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!
If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.
Requested Article:
Combining Reinforcement Learning and Spatial Proximity Exploration for New User and New POI Recommendations
David Massimo, Francesco Ricci⋆
(2023), pp. 164-174
Closed Access | Times Cited: 12
David Massimo, Francesco Ricci⋆
(2023), pp. 164-174
Closed Access | Times Cited: 12
Showing 12 citing articles:
Trustworthy Recommender Systems
Shoujin Wang, Xiuzhen Zhang, Yan Wang, et al.
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 15, Iss. 4, pp. 1-20
Open Access | Times Cited: 38
Shoujin Wang, Xiuzhen Zhang, Yan Wang, et al.
ACM Transactions on Intelligent Systems and Technology (2023) Vol. 15, Iss. 4, pp. 1-20
Open Access | Times Cited: 38
Understanding the influence of data characteristics on the performance of point-of-interest recommendation algorithms
Linus W. Dietz, Pablo Sánchez, Alejandro Bellogín
Information Technology & Tourism (2025)
Open Access
Linus W. Dietz, Pablo Sánchez, Alejandro Bellogín
Information Technology & Tourism (2025)
Open Access
A survey on point-of-interest recommendations leveraging heterogeneous data
Zehui Wang, Wolfram Höpken, Dietmar Jannach
Information Technology & Tourism (2025)
Open Access
Zehui Wang, Wolfram Höpken, Dietmar Jannach
Information Technology & Tourism (2025)
Open Access
Promoting sustainable tourism by recommending sequences of attractions with deep reinforcement learning
Anna Dalla Vecchia, Sara Migliorini, Elisa Quintarelli, et al.
Information Technology & Tourism (2024) Vol. 26, Iss. 3, pp. 449-484
Open Access | Times Cited: 3
Anna Dalla Vecchia, Sara Migliorini, Elisa Quintarelli, et al.
Information Technology & Tourism (2024) Vol. 26, Iss. 3, pp. 449-484
Open Access | Times Cited: 3
Does Twinning Vehicular Networks Enhance Their Performance in Dense Areas?
Sarah Al-Shareeda, Sema Oktuğ, Yusuf Yaslan, et al.
(2024), pp. 1-6
Open Access
Sarah Al-Shareeda, Sema Oktuğ, Yusuf Yaslan, et al.
(2024), pp. 1-6
Open Access
Simulation of recommender systems driven tourism promotion campaigns
Greta Piliponyte, David Massimo, Francesco Ricci⋆
Information Technology & Tourism (2024) Vol. 26, Iss. 3, pp. 407-448
Closed Access
Greta Piliponyte, David Massimo, Francesco Ricci⋆
Information Technology & Tourism (2024) Vol. 26, Iss. 3, pp. 407-448
Closed Access
Avoiding Decision Fatigue with AI-Assisted Decision-Making
Jessica Maria Echterhoff, Aditya Melkote, Sujen Kancherla, et al.
(2024), pp. 1-11
Open Access
Jessica Maria Echterhoff, Aditya Melkote, Sujen Kancherla, et al.
(2024), pp. 1-11
Open Access
ScrollyPOI: A Narrative-Driven Interactive Recommender System for Points-of-Interest Exploration and Explainability
Ibrahim Al-Hazwani, Tiantian Luo, Oana Inel, et al.
(2024), pp. 292-304
Closed Access
Ibrahim Al-Hazwani, Tiantian Luo, Oana Inel, et al.
(2024), pp. 292-304
Closed Access
Exploring the evolution, progress, and future of point-of-interest recommendation over location-based social network: a comprehensive review
Malika Acharya, Krishna Kumar Mohbey
GeoInformatica (2024)
Closed Access
Malika Acharya, Krishna Kumar Mohbey
GeoInformatica (2024)
Closed Access
Understanding the Evolution in Tourist Behavior Patterns through Context-Aware Spatio-Temporal k-Means
Alberto Belussi, Anna Dalla Vecchia, Mauro Gambini, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 5243-5252
Closed Access
Alberto Belussi, Anna Dalla Vecchia, Mauro Gambini, et al.
2021 IEEE International Conference on Big Data (Big Data) (2024), pp. 5243-5252
Closed Access
Challenges for Anonymous Session-Based Recommender Systems in Indoor Environments
Alessio Ferrato
(2023), pp. 1339-1341
Closed Access | Times Cited: 1
Alessio Ferrato
(2023), pp. 1339-1341
Closed Access | Times Cited: 1
Expected and Experienced Utility of Points of Interest in Tourism Recommender Systems
Katharina Hofschen, David Massimo, Francesco Ricci⋆
(2023), pp. 50-55
Closed Access
Katharina Hofschen, David Massimo, Francesco Ricci⋆
(2023), pp. 50-55
Closed Access