CUHE - An explainable recommender system for holistic exploration and curation of media heritage collections 🔗
CUHE aims to develop and demonstrate a web-based application based on AI recommendations that will enable cultural heritage professionals (e.g. museum curators, archivists) as well as researchers to explore existing media and cultural heritage digital collections in a more holistic way and allow them to more easily curate new galleries or create digital stories and exhibitions which can showcase and share the new insights gained.
While the recommendation system will enable the automatic linking of curated editorials to create “Story Spaces” and surface non-obvious connections between records and between collections, it will be important to provide users with the necessary information to understand why they are given such recommendations. In this way CUHE takes one step towards more explainable AI and answers the challenge of navigating multi-perspectivity in media heritage collections.
CUHE has indirectly received funding from the European Union's Horizon 2020 research and innovation action programme, via the AI4Media Open Call #1 issued and executed under the AI4Media project (Grant Agreement no. 951911).
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