Cross-domain based Event Recommendation using Tensor Factorization

Cross-domain based Event Recommendation using Tensor Factorization

Context in the form of meta-data has been accredited as an important component in cross-domain collaborative filtering (CDCF). In this research paper CDCF concept is used to exploit event information (context) from two UI matrices to allow the recommendation performance of one domain (Facebook- User...

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Bibliographic Details
Main Authors: Arora Anuja, Taneja Vaibhav, Parashar Sonali, Mishra Apurva
Format: Article
Language:English
Published: De Gruyter 2016-10-01
Series:Open Computer Science
Subjects:
cross domain based recommendation
event recommendation
matrix factorization
tensor factorization
Online Access:https://doi.org/10.1515/comp-2016-0011

Internet

https://doi.org/10.1515/comp-2016-0011

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