Present Highly-Personalized Recommendations That Drive Business, In Under 100ms. See How.
Predict customers’ next purchase through deep learning and journey-aware recommendations.
This paper addresses the problem of high sparseness of user cultural behavior data and the rapid changes in user cultural interest encountered in the ...
Firstly, this paper introduces the concept, function and characteristics of ethnic cultural resources, and then studies the collaborative filtering algorithm ...
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The CHXplorer is designed to enhance the satisfaction and enjoyment of the user visiting the cultural heritage sites, and it is capable of generating ...
This paper presents a personalized recommender system of public digital cultural resources. Keywords-Public Culture; big data; Cloud Computing;. Framework. I ...
Jul 8, 2022 · This study establishes a personalized recommendation system for library resources based on deep belief networks, which expands the theoretical ...
Aug 19, 2023 · While personalized recommendation approaches take a deep dive into individual user profiles, these systems opt for a more universal approach.
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Pervasive personalization and recommendations in digital libraries require research on a range of topics that current systems only begin to address, for example.
In this work, a cultural RS that produces a list of suggested POIs to visit is going to be outlined. The proposed system is going to model implicit user ...
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Jan 1, 2022 · Personalized and content adaptive cultural heritage path recommendation: an application to the Gournia and Çatalhöyük archaeological sites.
Oct 11, 2022 · Finally, the group preference model is constructed by weighted fusion of members' preferences based on their contribution degrees, and different ...