Incorporating Auxiliary Information in Collaborative Filtering Data Update with Privacy Preservation
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2014, Vol 5, Issue 4
Abstract
Online shopping has become increasingly popular in recent years. More and more people are willing to buy products through Internet instead of physical stores. For promotional purposes, almost all online merchants provide product recommendations to their returning customers. Some of them ask professional recommendation service providers to help develop and maintain recommender systems while others need to share their data with similar shops for better product recommendations. There are two issues, (1) how to protect customers’ privacy while retaining data utility before they release the data to the third parties; (2) based on (1), how to handle data growth efficiently. In this paper, we propose a NMF (Nonnegative Matrix Factorization)-based data update approach in collaborative filtering (CF) that solves the problems. The proposed approach utilizes the intrinsic property of NMF to distort the data for protecting user’s privacy. In addition, the user and item auxiliary information is taken into account in incremental nonnegative matrix tri-factorization to help improve the data utility. Experiments on three different datasets (MovieLens, Sushi and LibimSeTi) are conducted to examine the proposed approach. The results show that our approach can quickly update the new data and provide both high level privacy protection and good data utility.
Authors and Affiliations
Xiwei Wang , Jun Zhang, Pengpeng Lin, Nirmal Thapa, Yin Wang, Jie Wang
Keywords
Related Articles
- EP ID EP147200
- DOI 10.14569/IJACSA.2014.050432
- Views 86
- Downloads 0
Detecting and Classifying Crimes from Arabic Twitter Posts using Text Mining Techniques
Crime analysis has become a critical area for helping law enforcement agencies to protect civilians. As a result of a rapidly increasing population, crime rates have increased dramatically, and appropriate analysis has b...
Method for Designing Scalable Microservice-based Application Systematically: A Case Study
Microservice is a new transformation of Service-Oriented Architecture (SOA) which is gaining momentum in both academic and industry. The success of microservice began when giant companies like Netflix used them as a serv...
Semantic Sentiment Analysis of Arabic Texts
Twitter considered as a rich resource to collect people's opinions in different domains and attracted researchers to develop an automatic Sentiment Analysis (SA) model for tweets. In this work, a semantic Arabic Twitter...
Quality Flag of GOSAT/FTS Products Taking into Account Estimation Reliability
Quality and cloud flags of GOSAT/FTS: Fourier Transform Spectrometer onboard Greenhouse gasses Observation Satellite products taking into account cirrus clouds and thick aerosols are considered and proposed. Influence du...
Relationship Analysis on the Experience of Hospitalised Paediatric Cancer Patient in Malaysia using Text Analytics Approach
The purpose of this study is to analyse the keyword relationships of paediatric cancer patient’s experiences whilst being hospitalised during the treatment session. This study collects data through 40 days of observation...