Personalization Techniques and Recommender Systems

This book PDF is perfect for those who love Science genre, written by Gulden Uchyigit and published by World Scientific which was released on 21 June 2024 with total hardcover pages 334. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Personalization Techniques and Recommender Systems books below.

Personalization Techniques and Recommender Systems
Personalization Techniques and Recommender Systems
Author : Gulden Uchyigit
File Size : 46,5 Mb
Publisher : World Scientific
Language : English
Release Date : 21 June 2024
ISBN : 9789812797018
Pages : 334 pages
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Personalization Techniques and Recommender Systems by Gulden Uchyigit Book PDF Summary

The phenomenal growth of the Internet has resulted in huge amounts of online information, a situation that is overwhelming to the end users. To overcome this problem, personalization technologies have been extensively employed.The book is the first of its kind, representing research efforts in the diversity of personalization and recommendation techniques. These include user modeling, content, collaborative, hybrid and knowledge-based recommender systems. It presents theoretic research in the context of various applications from mobile information access, marketing and sales and web services, to library and personalized TV recommendation systems.This volume will serve as a basis to researchers who wish to learn more in the field of recommender systems, and also to those intending to deploy advanced personalization techniques in their systems.

Personalization Techniques and Recommender Systems

Personalization Techniques and Recommender Systems by Gulden Uchyigit,Matthew Y. Ma

The phenomenal growth of the Internet has resulted in huge amounts of online information, a situation that is overwhelming to the end users. To overcome this problem, personalization technologies have been extensively employed.The book is the first of its kind, representing research efforts in the diversity of personalization and

Get Book
Personalization Techniques and Recommender Systems

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