Developing Hybrid Intelligence Based Recommender System:: A Search Towards Machine Learning Components - Softcover

Roy, Arup; Singh, Pawan Kumar

 
9786206155256: Developing Hybrid Intelligence Based Recommender System:: A Search Towards Machine Learning Components
Softcover
ISBN 10: 6206155250 ISBN 13: 9786206155256
Verlag: LAP LAMBERT Academic Publishing, 2023

Inhaltsangabe

The scope of harnessing information science has been experienced in personalized decision support systems. This involves minimizing the volume of information and making deductions, such as in the case of Amazon's recommendation system. Traditional recommendation systems are becoming outdated and inadequate in meeting user requirements and technological trends. New recommendation systems like contextual, group, and social recommendation have been discovered. These systems have been investigated and analyzed using nature-inspired algorithms, evolutionary algorithms, swarm intelligence algorithms, and machine learning techniques to provide more precise personalized recommendations. A community-based filtering algorithm is proposed as well as an innovative hybrid intelligent algorithm to handle non-erroneous recommendations in a context-aware framework and address threats from intruders using optimization techniques and.The work aims to provide efficient solutions to problems faced by users, including sparsity, novelty, precise recommendation, and optimum decision-making solutions. The proposed models have been extensively experimented with and show superior learning mechanisms.

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Über die Autorin bzw. den Autor

Arup RoyDepartment of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, India.Pawan Kumar SinghDepartment of Information Technology, Jadavpur University, Kolkata, India.

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Verlag
LAP LAMBERT Academic Publishing
Erscheinungsdatum
2023
Sprache
Englisch
ISBN 10 
6206155250
ISBN 13 
9786206155256
Einband
Taschenbuch
Anzahl der Seiten
236
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Edicoes Nosso Conhecimento
customerservice@vdm-vsg.de

SIA
Riga
1039
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