Sep 10, 2022 · We propose a context-aware interactive knowledge-based recommendation to make recommendation to customers who walk into a store, even when no previous ...
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Constraint-based recommender systems leverage deep recommendation knowledge to identify relevant suggestions. When combined with knowledge graphs, they offer ...
This survey focuses on the state-of-the art computational intelligence techniques trying to improve conventional design using contextual information.
Dec 9, 2021 · With a context-aware recommender system, you can plan ways to recreate some of the contextual conditions that persuade them to buy more from ...
Nov 20, 2021 · In this paper an effective deep learning based context aware recommendation model is proposed which can be act as an efficient recommender system by showing ...
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In this paper, we propose a novel, context-aware recommender system, based on domain KG, to respond to user-defined natural queries.
Jan 30, 2024 · We propose a novel Knowledge-based Context-Aware Group Recommender System (KCGRS). In the first stage, KCGRS utilizes a knowledge graph to learn domain-aware ...
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Posted: Nov 15, 2018
Posted: Nov 15, 2018
In this paper, we introduce an interactive recommender system that can detect and adapt to changes in context based on the user's ongoing behavior.
In this paper, we present the concept of a context-aware smart service system and propose a knowledge model for context-aware smart service systems.