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portada Developing Hybrid Intelligence Based Recommender System
Type
Physical Book
Author
Publisher
Language
English
Pages
236
Format
Paperback
Dimensions
22.9 x 15.2 x 1.4 cm
Weight
0.35 kg.
ISBN13
9786206155256
Categories

Developing Hybrid Intelligence Based Recommender System

Arup Roy (Author) · Pawan Kumar Singh (Author) · LAP Lambert Academic Publishing · Paperback

Developing Hybrid Intelligence Based Recommender System - Roy, Arup ; Singh, Pawan Kumar

New Book Imported to South Africa
Delivery: 17 Aug - 25 Aug Shipping: 13 to 14 business days.
R 1,624
R 1,624

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Synopsis "Developing Hybrid Intelligence Based Recommender System"

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 Traditional recommendation systems are becoming outdated and inadequate in meeting user requirements and technological trends.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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