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A literature review and classification of recommender systems research
DH Park, HK Kim, IY Choi, JK Kim - Expert systems with applications, 2012 - Elsevier
Recommender systems have become an important research field since the emergence of
the first paper on collaborative filtering in the mid-1990s. Although academic research on …
the first paper on collaborative filtering in the mid-1990s. Although academic research on …
A comprehensive survey on trustworthy recommender systems
As one of the most successful AI-powered applications, recommender systems aim to help
people make appropriate decisions in an effective and efficient way, by providing …
people make appropriate decisions in an effective and efficient way, by providing …
Collaborative filtering recommender systems
Recommender systems are an important part of the information and e-commerce ecosystem.
They represent a powerful method for enabling users to filter through large information and …
They represent a powerful method for enabling users to filter through large information and …
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
This paper presents an overview of the field of recommender systems and describes the
current generation of recommendation methods that are usually classified into the following …
current generation of recommendation methods that are usually classified into the following …
Collaborative filtering recommender systems
One of the potent personalization technologies powering the adaptive web is collaborative
filtering. Collaborative filtering (CF) is the process of filtering or evaluating items through the …
filtering. Collaborative filtering (CF) is the process of filtering or evaluating items through the …
Encrypted signal processing for privacy protection: Conveying the utility of homomorphic encryption and multiparty computation
In recent years, signal processing applications that deal with user-related data have aroused
privacy concerns. For instance, face recognition and personalized recommendations rely on …
privacy concerns. For instance, face recognition and personalized recommendations rely on …
" You might also like:" Privacy risks of collaborative filtering
Many commercial websites use recommender systems to help customers locate products
and content. Modern recommenders are based on collaborative filtering: they use patterns …
and content. Modern recommenders are based on collaborative filtering: they use patterns …
System and method for protecting user privacy using social inference protection techniques
SG Motahari, Q Jones - US Patent 8,504,481, 2013 - Google Patents
US8504481B2 - System and method for protecting user privacy using social inference protection
techniques - Google Patents US8504481B2 - System and method for protecting user privacy …
techniques - Google Patents US8504481B2 - System and method for protecting user privacy …
If robots cause harm, who is to blame? Self-driving cars and criminal liability
The fact that robots, especially self-driving cars, have become part of our daily lives raises
novel issues in criminal law. Robots can malfunction and cause serious harm. But as things …
novel issues in criminal law. Robots can malfunction and cause serious harm. But as things …
A survey on privacy in social media: Identification, mitigation, and applications
The increasing popularity of social media has attracted a huge number of people to
participate in numerous activities on a daily basis. This results in tremendous amounts of …
participate in numerous activities on a daily basis. This results in tremendous amounts of …