NDLI: Deep Neural Networks for Recommender Systems

Please wait, while we are loading the content...

Deep Neural Networks for Recommender Systems

Content Provider	Scilit
Author	Dhruv, Ajay Arya, Meenakshi S. Bakal, J. W.
Copyright Year	2021
Description	The moment you log into any web service application on your devices, it tells you what you must watch, eat, buy, learn, or wear. Recommender systems have become the quintessential “Friend-Philosopher-Guide” guiding us through our digital lives. This chapter aims to look at recommender systems as one of the most popular and emerging applications of neural networks and how they wire and mesh up things and people to facilitate valuable personalized recommendations. These recommendations may be based on either user's behavior over the Internet or mapping user's behavior with other people of similar taste. The focus is on explaining the need of these systems, understanding the recommendation systems in practice, and identifying how they are currently mapped to users' fractionally changing preferences. A walkthrough in building a deep neural network along with the architecture of most popular neural network algorithms for recommendation systems will be given. The chapter will discuss the benefits of deep learning over machine learning for recommender systems, tuning and optimizing the hyperparameters of the deep neural network, and also throw light on the open issues in recommender systems for researchers. Book Name: Data Science and Its Applications
Related Links	https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9781003102380-10&type=chapterpdf
Ending Page	203
Page Count	13
Starting Page	191
DOI	10.1201/9781003102380-10
Language	English
Publisher	Informa UK Limited
Publisher Date	2021-06-30
Access Restriction	Open
Subject Keyword	Book Name: Data Science and Its Applications Cybernetical Science Behavior Neural Network Algorithms Optimizing Recommender Systems Building Deep Neural Network
Content Type	Text
Resource Type	Chapter

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in