NDLI: A collaborative filtering recommendation based on user profile and user behavior in online social networks

Content Provider	IEEE Xplore Digital Library
Author	Lu Yang Gopalakrishnan, A.K.
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Sci., Assumption Univ., Bangkok, Thailand (Lu Yang; Gopalakrishnan, A.K.)
Abstract	This paper aims to present and discuss the similarity among users in a social network based on CF (Collaborative Filtering) algorithm and SimRank (Similarity Based on Random Walk) algorithm. The CF algorithm used to predict the relationship between users based on the user rating on items (movies and books) and the user's profile. The SimRank algorithm calculates the similarity among users through finding the nearest neighbors for each user in the social network. At last, the combination of these two algorithms will be used to get “people may interest each other” from users' database. In the experimental analysis, a data set “DouBan” (a data set is collected from a Chinese website) will be used and demonstrates the performance of the improved technique with a website. And the website will be developed to show the recommended processing of the proposed algorithm. Finally, the recommendation accuracy of the proposed method is evaluated by comparing with the existing recommendation algorithms.
Starting Page	273
Ending Page	277
File Size	1016839
Page Count	5
File Format	PDF
e-ISBN	9781479949632
DOI	10.1109/ICSEC.2014.6978207
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-30
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Collaborative Filtering Social network services Similarity Collaboration Filtering algorithms Motion pictures Prediction algorithms Social network SimRank Recommender systems
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

Enhancing accuracy of User-based Collaborative Filtering recommendation algorithm in social network

Rating prediction algorithm and recommendation based on user beahavior in IPTV

A Collaborative Filtering Algorithm Based on User Activity Level

A collaborative filtering algorithm fusing user-based, item-based and social networks

Personalized collaborative filtering based on improved slope one alogarithm

An Intelligent E-Commerce Recommendation Algorithm Based on Collaborative Filtering Technology

A Heuristic Recommendation Method Based on Contextual Social Network

An improved collaborative filtering algorithm based on bipartite network

Graph-Based Recommendation on Social Networks

A collaborative filtering recommendation based on user profile and user behavior in online social networks

Similar Documents

Enhancing accuracy of User-based Collaborative Filtering recommendation algorithm in social network

Rating prediction algorithm and recommendation based on user beahavior in IPTV

A Collaborative Filtering Algorithm Based on User Activity Level

A collaborative filtering algorithm fusing user-based, item-based and social networks

Personalized collaborative filtering based on improved slope one alogarithm

An Intelligent E-Commerce Recommendation Algorithm Based on Collaborative Filtering Technology

A Heuristic Recommendation Method Based on Contextual Social Network

An improved collaborative filtering algorithm based on bipartite network

Graph-Based Recommendation on Social Networks

A collaborative filtering recommendation based on user profile and user behavior in online social networks