{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T07:22:01Z","timestamp":1763018521412,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T00:00:00Z","timestamp":1663027200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,9,18]]},"DOI":"10.1145\/3523227.3551481","type":"proceedings-article","created":{"date-parts":[[2022,9,13]],"date-time":"2022-09-13T14:13:46Z","timestamp":1663078426000},"page":"598-603","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":9,"title":["Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation"],"prefix":"10.1145","author":[{"given":"Hossein A.","family":"Rahmani","sequence":"first","affiliation":[{"name":"WI, University College London, United Kingdom"}]},{"given":"Mohammadmehdi","family":"Naghiaei","sequence":"additional","affiliation":[{"name":"ISE department, University of Southern California, United States"}]},{"given":"Ali","family":"Tourani","sequence":"additional","affiliation":[{"name":"University of Luxembourg, Luxembourg"}]},{"given":"Yashar","family":"Deldjoo","sequence":"additional","affiliation":[{"name":"Polytechnic University of Bari, Italy"}]}],"member":"320","published-online":{"date-parts":[[2022,9,13]]},"reference":[{"volume-title":"Recommender systems handbook","author":"Adomavicius Gediminas","key":"e_1_3_2_2_1_1","unstructured":"Gediminas Adomavicius and Alexander Tuzhilin. 2011. Context-aware recommender systems. In Recommender systems handbook. Springer, 217\u2013253."},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3231933"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330745"},{"key":"e_1_3_2_2_4_1","volume-title":"Conference on fairness, accountability and transparency. PMLR, 202\u2013214","author":"Burke Robin","year":"2018","unstructured":"Robin Burke, Nasim Sonboli, and Aldo Ordonez-Gauger. 2018. Balanced neighborhoods for multi-sided fairness in recommendation. In Conference on fairness, accountability and transparency. PMLR, 202\u2013214."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102662"},{"key":"e_1_3_2_2_6_1","volume-title":"Fairness in Recommender Systems: Research Landscape and Future Directions. arXiv","author":"Deldjoo Yashar","year":"2022","unstructured":"Yashar Deldjoo, Dietmar Jannach, Alejandro Bellogin, Alessandro Difonzo, and Dario Zanzonelli. 2022. Fairness in Recommender Systems: Research Landscape and Future Directions. arXiv (2022)."},{"key":"e_1_3_2_2_7_1","volume-title":"Proceedings of the 9th Italian Information Retrieval Workshop","author":"Deldjoo Yashar","year":"2018","unstructured":"Yashar Deldjoo, Markus Schedl, Paolo Cremonesi, and Gabriella Pasi. 2018. Content-Based Multimedia Recommendation Systems: Definition and Application Domains. In Proceedings of the 9th Italian Information Retrieval Workshop, Rome, Italy, May, 28-30, 2018(CEUR Workshop Proceedings, Vol.\u00a02140). CEUR-WS.org. http:\/\/ceur-ws.org\/Vol-2140\/paper15.pdf"},{"key":"e_1_3_2_2_8_1","unstructured":"Yashar Deldjoo Markus Schedl Paolo Cremonesi and Gabriella Pasi. 2018. Content-based multimedia recommendation systems: definition and application domains. (2018)."},{"volume-title":"Recommender Systems Handbook","author":"Jannach Dietmar","key":"e_1_3_2_2_9_1","unstructured":"Dietmar Jannach, Massimo Quadrana, and Paolo Cremonesi. 2022. Session-based recommender systems. In Recommender Systems Handbook. Springer, 301\u2013334."},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3298689.3346974"},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-45442-5_5"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3442381.3449866"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1145\/2505515.2505639"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.14778\/3115404.3115407"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.1145\/3383313.3412223"},{"key":"e_1_3_2_2_16_1","volume-title":"Proceedings of the 1st International Workshop on Processing Information Ethically co-located with 31st International Conference on Advanced Information Systems Engineering, PIE@CAiSE","author":"Migliorini Sara","year":"2019","unstructured":"Sara Migliorini, Elisa Quintarelli, Damiano Carra, and Alberto Belussi. 2019. What is the Role of Context in Fair Group Recommendations?. In Proceedings of the 1st International Workshop on Processing Information Ethically co-located with 31st International Conference on Advanced Information Systems Engineering, PIE@CAiSE 2019, Rome, Italy, June 4, 2019(CEUR Workshop Proceedings, Vol.\u00a02417), Donatella Firmani, Elena Nieddu, Letizia Tanca, and Riccardo Torlone (Eds.). CEUR-WS.org. http:\/\/ceur-ws.org\/Vol-2417\/paper6.pdf"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"crossref","unstructured":"Mohammadmehdi Naghiaei Hossein\u00a0A Rahmani and Mahdi Dehghan. 2022. The Unfairness of Popularity Bias in Book Recommendation. arXiv preprint arXiv:2202.13446(2022).","DOI":"10.1007\/978-3-031-09316-6_7"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"crossref","unstructured":"Mohammadmehdi Naghiaei Hossein\u00a0A Rahmani and Yashar Deldjoo. 2022. CPFair: Personalized Consumer and Producer Fairness Re-ranking for Recommender Systems. arXiv preprint arXiv:2204.08085(2022).","DOI":"10.1145\/3477495.3531959"},{"key":"e_1_3_2_2_19_1","volume-title":"Asia Information Retrieval Symposium. Springer, 66\u201378","author":"Rahmani A","year":"2019","unstructured":"Hossein\u00a0A Rahmani, Mohammad Aliannejadi, Sajad Ahmadian, Mitra Baratchi, Mohsen Afsharchi, and Fabio Crestani. 2019. LGLMF: local geographical based logistic matrix factorization model for POI recommendation. In Asia Information Retrieval Symposium. Springer, 66\u201378."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-45439-5_14"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"crossref","unstructured":"Hossein\u00a0A Rahmani Mohammad Aliannejadi Mitra Baratchi and Fabio Crestani. 2022. A Systematic Analysis on the Impact of Contextual Information on Point-of-Interest Recommendation. arXiv preprint arXiv:2201.08150(2022).","DOI":"10.1145\/3508478"},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"crossref","unstructured":"Hossein\u00a0A Rahmani Yashar Deldjoo and Tommaso di Noia. 2022. The role of context fusion on accuracy beyond-accuracy and fairness of point-of-interest recommendation systems. Expert Systems with Applications(2022) 117700.","DOI":"10.1016\/j.eswa.2022.117700"},{"volume-title":"Advances in Bias and Fairness in Information Retrieval","author":"Rahmani A.","key":"e_1_3_2_2_23_1","unstructured":"Hossein\u00a0A. Rahmani, Yashar Deldjoo, Ali Tourani, and Mohammadmehdi Naghiaei. 2022. The Unfairness of Active Users and Popularity Bias in Point-of-Interest Recommendation. In Advances in Bias and Fairness in Information Retrieval. Springer International Publishing, Cham, 56\u201368."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cosrev.2019.01.001"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"crossref","unstructured":"Pablo S\u00e1nchez and Alejandro Bellog\u00edn. 2022. Point-of-interest recommender systems based on location-based social networks: a survey from an experimental perspective. ACM Computing Surveys (CSUR)(2022).","DOI":"10.1145\/3510409"},{"key":"e_1_3_2_2_26_1","volume-title":"Context-aware recommender systems for learning: a survey and future challenges","author":"Verbert Katrien","year":"2012","unstructured":"Katrien Verbert, Nikos Manouselis, Xavier Ochoa, Martin Wolpers, Hendrik Drachsler, Ivana Bosnic, and Erik Duval. 2012. Context-aware recommender systems for learning: a survey and future challenges. IEEE transactions on learning technologies 5, 4 (2012), 318\u2013335."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-020-09746-0"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1145\/2766462.2767711"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.1145\/2666310.2666400"}],"event":{"name":"RecSys '22: Sixteenth ACM Conference on Recommender Systems","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGAI ACM Special Interest Group on Artificial Intelligence","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval","SIGCHI ACM Special Interest Group on Computer-Human Interaction"],"location":"Seattle WA USA","acronym":"RecSys '22"},"container-title":["Proceedings of the 16th ACM Conference on Recommender Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523227.3551481","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3523227.3551481","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:29Z","timestamp":1750183769000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3523227.3551481"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,13]]},"references-count":29,"alternative-id":["10.1145\/3523227.3551481","10.1145\/3523227"],"URL":"https:\/\/doi.org\/10.1145\/3523227.3551481","relation":{},"subject":[],"published":{"date-parts":[[2022,9,13]]},"assertion":[{"value":"2022-09-13","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}