首页|Studies from University of Trento Provide New Data on Artificial Intelligence (Personalized bundle recommendation using preference elicitation and the Choquet integral)
Studies from University of Trento Provide New Data on Artificial Intelligence (Personalized bundle recommendation using preference elicitation and the Choquet integral)
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Frontiers Media Sa
2024 FEB 27 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on artificial intelligence. According to news originating from Trento, Italy, by NewsRx correspondents, research stated, “Bundle recommendation aims to generate bundles of associated products that users tend to consume as a whole under certain circumstances.” The news reporters obtained a quote from the research from University of Trento: “Modeling the bundle utility for users is a non-trivial task, as it requires to account for the potential interdependencies between bundle attributes. To address this challenge, we introduce a new preference-based approach for bundle recommendation exploiting the Choquet integral. This allows us to formalize preferences for coalitions of environmental-related attributes, thus recommending product bundles accounting for synergies among product attributes. An experimental evaluation of a dataset of local food products in Northern Italy shows how the Choquet integral allows the natural formalization of a sensible notion of environmental friendliness and that standard approaches based on weighted sums of attributes end up recommending bundles with lower environmental friendliness even if weights are explicitly learned to maximize it.”
University of TrentoTrentoItalyEuropeArtificial IntelligenceMachine Learning
NETL
NSTL
Frontiers Media Sa
