Privacy-preserving Collaborative Filtering Using Randomized Response

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Privacy-Preserving Collaborative Filtering Using Randomized Perturbation Techniques

Collaborative Filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. E-commerce sites use CF systems to suggest products to customers based on like-minded customers’ preferences. People use CF systems to cope with information overload. To conduct collaborative filtering, data from customers are needed. However, collecting high quality data from customers...

متن کامل

Privacy-Preserving Collaborative Filtering

Collaborative filtering (CF) techniques are becoming very popular on the Internet and are widely used in several domains to cope with information overload. E-commerce sites use filtering systems to recommend products to customers based on the preferences of like-minded customers, but their systems do not protect user privacy. Because users concerned about privacy may give false information, it ...

متن کامل

Privacy Preserving Collaborative Filtering from Asymmetric Randomized Encoding

Collaborative filtering is a famous technique in recommendation systems. Yet, it requires the users to reveal their preferences, which has undesirable privacy implications. Over the years, researchers have proposed many privacy-preserving collaborative filtering (PPCF) systems using very different techniques for different settings, ranging from adding noise to the data with centralized filterin...

متن کامل

Shilling Attacks against Privacy-Preserving Collaborative Filtering

Although collaborative filtering with privacy schemes protect individual user privacy while still providing accurate recommendations, they might be subject to shilling attacks like traditional schemes without privacy. There are various studies focusing on either proposing privacypreserving collaborative filtering schemes or developing robust recommendation algorithms against shilling attacks. H...

متن کامل

Privacy Preserving Collaborative Filtering using Biclustering in Ubiquitous Computing Environments

Privacy concerns are a major hurdle in the success of personalized services in ubiquitous computing environments. Personalized recommendations are usually served using Collaborative Filtering techniques. In this paper, we propose a framework for privacy preserving collaborative filtering in ubiquitous computing environments. The proposed framework is based on a biclustering algorithm which empl...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Information Processing

سال: 2013

ISSN: 1882-6652

DOI: 10.2197/ipsjjip.21.617