NDLI: SemMovieRec: extraction of semantic features of DBpedia for recommender system

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SemMovieRec: extraction of semantic features of DBpedia for recommender system

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SemMovieRec: extraction of semantic features of DBpedia for recommender system

Content Provider	ACM Digital Library
Author	Kushwaha, Nidhi Vyas, O. P.
Abstract	Recommendation System has been developed with the growth of Word Wide Web. Recently, Web3.0 or Semantic Web has changed the traditional way of its related approaches, by leveraging knowledge of Linked Open data Cloud which consist of domain specific and cross domain interconnected datasets. It fabricates thousands of RDF triples and millions of links (external/internal) to connect this open source data. As per our literature survey we have found that the Recommender System based on Linked Open data Cloud does not deal with this Knowledge Base in an efficient manner because of the problem of data sparsity and inconsistency, which results due to automatic generation of Resource Description Format data from unstructured documents that leads to garbage data have no sense in recommending. This paper aims to explore a hybrid recommender which can be used as a rating predictor as well as movie recommender of RDF datasets. Also, we present a new model for Recommender System that not only utilizes DBpedia Knowledge Base but also remove the former problems in Recommender System by using a preprocessing technique for sparsity removal. To prove the correctness and accuracy of our model we have implemented and tested it over other previous methodologies. In order to make our algorithm efficient, we also used different data structure for storing and processing.
Starting Page	1
Ending Page	9
Page Count	9
File Format	PDF
ISBN	9781605588148
DOI	10.1145/2675744.2675759
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-10-09
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Recalll Precsion Dbpedia Hybrid Linked open data Recommendation
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

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