NDLI: Data Mining Based Recommendation System Using Social Websites

Content Provider	IEEE Xplore Digital Library
Author	Faryal, A. Tauqir, A. Martinez-Enriquez, A.M. Aslam, M.
Copyright Year	2015
Description	Author affiliation: Dept. of CS, CINVESTAV-IPN, Mexico City, Mexico (Martinez-Enriquez, A.M.) \|\| Dept. of CS & E, U.E.T., Lahore, Pakistan (Faryal, A.; Tauqir, A.; Aslam, M.)
Abstract	Nowadays, social networking sites have become part of daily life to increase personal profile on line to manage contact with friends. Recommendation systems with limited or excess data use data from social networking sites for resolving common problems. This paper describes a standalone recommendation system that finds relationship between users' connections on social networking sites and preferred items. The designed Web based recommendation system collects and transforms data from social networking sites, applying content and collaborative filtering techniques. For instance, to recommend books, the system treats data from Facebook. The experimental results show that these relationships enhance the quality of proposed recommendation.
Sponsorship	IEEE Comput. Soc.
Starting Page	365
Ending Page	368
File Size	196304
Page Count	4
File Format	PDF
e-ISBN	9781467396189
DOI	10.1109/WI-IAT.2015.78
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-12-06
Publisher Place	Singapore
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Databases Collaboration data mining Data mining Facebook collaborative content filtering social networking sites recommendation system Signal to noise ratio
Content Type	Text
Resource Type	Article

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

A Collaborative and Content Based Event Recommendation System Integrated with Data Collection Scrapers and Services at a Social Networking Site

Social recommendation based on interest propagation

KBRS — Keyword based recommendation system in social networks

Data mining-based recommendation system using social networks-an analytical study.

Enhanced Content-Based Filtering Using Diverse Collaborative Prediction for Movie Recommendation

Book recommendation system based on combine features of content based filtering, collaborative filtering and association rule mining

Mining relationships from text in social networking sites

Concept-Based Pages Recommendation by Using Cluster Algorithm

E-commerce personalized recommendation system based on Multi-Agent

Data Mining Based Recommendation System Using Social Websites

Similar Documents

A Collaborative and Content Based Event Recommendation System Integrated with Data Collection Scrapers and Services at a Social Networking Site

Social recommendation based on interest propagation

KBRS — Keyword based recommendation system in social networks

Data mining-based recommendation system using social networks-an analytical study.

Enhanced Content-Based Filtering Using Diverse Collaborative Prediction for Movie Recommendation

Book recommendation system based on combine features of content based filtering, collaborative filtering and association rule mining

Mining relationships from text in social networking sites

Concept-Based Pages Recommendation by Using Cluster Algorithm

E-commerce personalized recommendation system based on Multi-Agent

Data Mining Based Recommendation System Using Social Websites