New Method Based Artificial by Naseri Hamidreza (11 results)

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Taschenbuch. Condition: Neu. A New Method based on Artificial Intelligence | to Improve the New Suggestion System by Analyzing User Interaction Patterns | Hamidreza Naseri (u. a.) | Taschenbuch | Englisch | 2024 | Scholars' Press | EAN 9786206772668 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.…

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 96 pp. Englisch.

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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The purpose of this research is to provide a method based on neural networks for suggesting news through user interaction patterns. To address this important challenge, a graph-based news recommender system was presented, which recommends the best news for the user according to the global representation and combining it with the user's local information. The method of this research is focused on enhancing the representation of historical news through the use of a global news graph and improving the representation of candidate news content through a global entity graph. First, the representation of news text and news entities is learned from a local perspective. Then, world-aware historical news coder and world-aware entity news coder are used. Finally, a concise user coder and a news recommendation component are used. In this research, transformer networks were used for content-based news placements, as well as neuro graphic networks that provide communication reasoning. In addition, considering world news, we tried to suggest news that were hidden from the view of previous models.…

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The purpose of this research is to provide a method based on neural networks for suggesting news through user interaction patterns. To address this important challenge, a graph-based news recommender system was presented, which recommends the best news for the user according to the global representation and combining it with the user's local information. The method of this research is focused on enhancing the representation of historical news through the use of a global news graph and improving the representation of candidate news content through a global entity graph. First, the representation of news text and news entities is learned from a local perspective. Then, world-aware historical news coder and world-aware entity news coder are used. Finally, a concise user coder and a news recommendation component are used. In this research, transformer networks were used for content-based news placements, as well as neuro graphic networks that provide communication reasoning. In addition, considering world news, we tried to suggest news that were hidden from the view of previous models.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch.…