NDLI: Model-Based Collaborative Personalized Recommendation on Signed Social Rating Networks

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ACM Transactions on Internet Technology (TOIT) : Volume 16

Issue 4(Special Issue on Internet of Things (IoT): Smart and Secure Service Delivery), December 2016

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Patterns in the Chaos—A Study of Performance Variation and Predictability in Public IaaS Clouds

MARSA: A Marketplace for Realtime Human Sensing Data

Mining and Quality Assessment of Mashup Model Patterns with the Crowd: A Feasibility Study

rSYBL: A Framework for Specifying and Controlling Cloud Services Elasticity

Irony Detection in Twitter: The Role of Affective Content

Model-Based Collaborative Personalized Recommendation on Signed Social Rating Networks

Dynamic and Efficient Private Keyword Search over Inverted Index--Based Encrypted Data

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Model-Based Collaborative Personalized Recommendation on Signed Social Rating Networks

Content Provider	ACM Digital Library
Author	Ortale, Riccardo Costa, Gianni
Copyright Year	2016
Abstract	Recommendation on signed social rating networks is studied through an innovative approach. Bayesian probabilistic modeling is used to postulate a realistic generative process, wherein user and item interactions are explained by latent factors, whose relevance varies within the underlying network organization into user communities and item groups. Approximate posterior inference captures distrust propagation and drives Gibbs sampling to allow rating and (dis)trust prediction for recommendation along with the unsupervised exploratory analysis of network organization. Comparative experiments reveal the superiority of our approach in rating and link prediction on $\textit{Epinions}$ and $\textit{Ciao},$ besides community quality and recommendation sensitivity to network organization.
Starting Page	1
Ending Page	21
Page Count	21
File Format	PDF
ISSN	15335399
e-ISSN	15576051
DOI	10.1145/2934681
Volume Number	16
Issue Number	3
Journal	ACM Transactions on Internet Technology (TOIT)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-07-09
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Link prediction Mixed-membership block modeling Rating prediction
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications

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

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Model-Based Collaborative Personalized Recommendation on Signed Social Rating Networks

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