6533b85cfe1ef96bd12bc93f

RESEARCH PRODUCT

A Hybrid Recommender System for Cultural Heritage Promotion

Federico ConconeSalvatore GaglioVincenzo AgateAndrea Giammanco

subject

Cultural heritageWorld Wide WebSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniPromotion (rank)Computer sciencemedia_common.quotation_subjectCollaborative filteringTRIPS architectureRecommender systemDecision processCultural heritage Recommender systemsPopularitymedia_common

description

Assisting users during their cultural trips is paramount in promoting the heritage of a territory. Recommender Systems offer the automatic tools to guide users in their decision process, by maximizing the adherence of the proposed contents with the particular preferences of every single user. However, traditional recommendation paradigms suffer from several drawbacks which are exacerbated in Cultural Heritage scenarios, due to the extremely wide range of users behaviors, which may also depend on their different educational backgrounds. In this paper, we propose a Hybrid recommender system which combines the four most common recommendation paradigms, namely collaborative filtering, popularity-, knowledge-, and content-based, according to different hybridization strategies. Experimental evaluation shows the versatility of the hybrid recommender with respect to the other paradigms adopted individually.

yearjournalcountryeditionlanguage
2021-08-01
10.1109/smartcomp52413.2021.00048http://hdl.handle.net/10447/524954