Recommender System with Machine Learning and Artificial Intelligence

Recommender System with Machine Learning and Artificial Intelligence
Author :
Publisher : John Wiley & Sons
Total Pages : 448
Release :
ISBN-10 : 9781119711599
ISBN-13 : 1119711592
Rating : 4/5 (592 Downloads)

Book Synopsis Recommender System with Machine Learning and Artificial Intelligence by : Sachi Nandan Mohanty

Download or read book Recommender System with Machine Learning and Artificial Intelligence written by Sachi Nandan Mohanty and published by John Wiley & Sons. This book was released on 2020-06-09 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, information technology, data mining, statistics, adaptive user interfaces, decision support systems, marketing, and consumer behavior. It comprehensively covers the topic of recommender systems, which provide personalized recommendations of items or services to the new users based on their past behavior. Recommender system methods have been adapted to diverse applications including social networking, movie recommendation, query log mining, news recommendations, and computational advertising. This book synthesizes both fundamental and advanced topics of a research area that has now reached maturity. Recommendations in agricultural or healthcare domains and contexts, the context of a recommendation can be viewed as important side information that affects the recommendation goals. Different types of context such as temporal data, spatial data, social data, tagging data, and trustworthiness are explored. This book illustrates how this technology can support the user in decision-making, planning and purchasing processes in agricultural & healthcare sectors.


Recommender System with Machine Learning and Artificial Intelligence Related Books

Recommender System with Machine Learning and Artificial Intelligence
Language: en
Pages: 448
Authors: Sachi Nandan Mohanty
Categories: Computers
Type: BOOK - Published: 2020-06-09 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

This book is a multi-disciplinary effort that involves world-wide experts from diverse fields, such as artificial intelligence, human computer interaction, info
Recommender Systems
Language: en
Pages: 498
Authors: Charu C. Aggarwal
Categories: Computers
Type: BOOK - Published: 2016-03-28 - Publisher: Springer

DOWNLOAD EBOOK

This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their pr
Recommender Systems
Language: en
Pages: 352
Authors: Dietmar Jannach
Categories: Computers
Type: BOOK - Published: 2010-09-30 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

In this age of information overload, people use a variety of strategies to make choices about what to buy, how to spend their leisure time, and even whom to dat
Hands-On Recommendation Systems with Python
Language: en
Pages: 141
Authors: Rounak Banik
Categories: Computers
Type: BOOK - Published: 2018-07-31 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems (collabor
Statistical Methods for Recommender Systems
Language: en
Pages: 307
Authors: Deepak K. Agarwal
Categories: Computers
Type: BOOK - Published: 2016-02-24 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is