Challenges for Anonymous Session-Based Recommender Systems in Indoor Environments

Author:

Ferrato Alessio1ORCID

Affiliation:

1. ICITA, Roma Tre, Italy

Publisher

ACM

Reference30 articles.

1. Himan Abdollahpouri , Masoud Mansoury , Robin Burke , and Bamshad Mobasher . 2019. The Unfairness of Popularity Bias in Recommendation. CoRR abs/1907.13286 ( 2019 ), 7 pages. http://dblp.uni-trier.de/db/journals/corr/corr1907.html Himan Abdollahpouri, Masoud Mansoury, Robin Burke, and Bamshad Mobasher. 2019. The Unfairness of Popularity Bias in Recommendation. CoRR abs/1907.13286 (2019), 7 pages. http://dblp.uni-trier.de/db/journals/corr/corr1907.html

2. A Social Context-Aware Recommender of Itineraries Between Relevant Points of Interest

3. María del Carmen Rodríguez-Hernández , Sergio Ilarri , Ramón Hermoso , and Raque Trillo-Lado . 2017. Towards trajectory-based recommendations in museums: evaluation of strategies using mixed synthetic and real data. Procedia computer science 113 ( 2017 ), 234–239. María del Carmen Rodríguez-Hernández, Sergio Ilarri, Ramón Hermoso, and Raque Trillo-Lado. 2017. Towards trajectory-based recommendations in museums: evaluation of strategies using mixed synthetic and real data. Procedia computer science 113 (2017), 234–239.

4. Yashar Deldjoo Dietmar Jannach Alejandro Bellogin Alessandro Difonzo and Dario Zanzonelli. 2023. Fairness in recommender systems: research landscape and future directions. 50 pages. Yashar Deldjoo Dietmar Jannach Alejandro Bellogin Alessandro Difonzo and Dario Zanzonelli. 2023. Fairness in recommender systems: research landscape and future directions. 50 pages.

5. A novel mobile recommender system for indoor shopping

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