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Proceedings of the 18th International Conference on WWW/Internet 2019
Data-driven digital memory applications lack predefined navigation paths and strict hierarchical structures. They are based on large collections of memory items that can become overwhelming to users. Recommender systems can improve user experience through the proposal of personalized relevant items. However, very little academic literature has been dedicated to discussing this type of filtering of digital memory resources and the provision of customized contents to active users. In this paper,doi:10.33965/icwi2019_201913l007 fatcat:dhwi4gm46fe4zlegy67wstdwdi