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How scales influence user rating behaviour in recommender systems.

, , , , , and . Behav. Inf. Technol., 36 (10): 985-1004 (2017)

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Tourist recommendations with a touch of SPICE: A TRS with Deep Cultural Understanding., , and . WebTour@WSDM, volume 2855 of CEUR Workshop Proceedings, page 19-20. CEUR-WS.org, (2021)Opportunities for Personalization for Crowdsourcing in Handwritten Text Recognition., , , , , , and . UMAP (Adjunct Publication), page 373-375. ACM, (2020)Exploring Values in Museum Artifacts in the SPICE project: a Preliminary Study., , , , , , , and . CoRR, (2023)PATCH 2015: Personalized Access to Cultural Heritage., , , , , , and . IUI, page 447-449. ACM, (2015)Workshop on Personalized Access to Cultural Heritage: PATCH'20., , , and . UMAP, page 396-397. ACM, (2020)Personal Information Everywhere (PIE)., , and . Hypertext, page 252-253. ACM, (2000)Where To Go And How To Get There: Guidelines For Indoor Landmark-Based Navigation In A Museum Context., , , and . MobileHCI Adjunct, page 789-796. ACM, (2015)How scales influence user rating behaviour in recommender systems., , , , , and . Behav. Inf. Technol., 36 (10): 985-1004 (2017)FLAME - An Efficient Access Method for Optical Disks., , , and . RIAO, page 227-236. CID, (1988)Personalized access to cultural heritage (PATCH2014): the future of experiencing cultural heritage., , , and . IUI Companion, page 47-48. ACM, (2014)