Results 41 to 50 of about 201,081 (282)
A novel clustered-based detection method for shilling attack in private environments [PDF]
PeerJ Computer ScienceThe topic of privacy-preserving collaborative filtering is gaining more and more attention. Nevertheless, privacy-preserving collaborative filtering techniques are vulnerable to shilling or profile injection assaults.
Ihsan Gunes
doaj +2 more sources
Collaborative filtering with privacy [PDF]
Proceedings 2002 IEEE Symposium on Security and Privacy, 2005 Server-based collaborative filtering systems have been very successful in e-commerce and in direct recommendation applications. In future, they have many potential applications in ubiquitous computing settings. But today's schemes have problems such as loss of privacy, favoring retail monopolies, and with hampering diffusion of innovations.
openaire +1 more source
A Big Data Analysis Method Based on Modified Collaborative Filtering Recommendation Algorithms
Open Physics, 2019 With the rapid development of e-commerce, collaborative filtering recommendation system has been widely used in various network platforms. Using recommendation system to accurately predict customers’ preferences for goods can solve the problem of ...
Yin Nan
doaj +1 more source
Enforcing Differential Privacy for Shared Collaborative Filtering
IEEE Access, 2017 Collaborative filtering is now successfully applied to recommender systems. The availability of extensive personal data is necessary for generating high quality recommendations.
Jianqiang Li +6 more
doaj +1 more source
Manipulation Robustness of Collaborative Filtering Systems
, 2009 A collaborative filtering system recommends to users products that similar users like. Collaborative filtering systems influence purchase decisions, and hence have become targets of manipulation by unscrupulous vendors.
Van Roy, Benjamin, Yan, Xiang
core +4 more sources
Scale And Translation Invariant Collaborative Filtering Systems [PDF]
, 2003 Collaborative filtering systems are prediction algorithms over sparse data sets of user preferences. We modify a wide range of state-of-the-art collaborative filtering systems to make them scale and translation invariant and generally improve their ...
Lemire, Daniel
core +4 more sources
Construction and Application of Music Audio Database Based on Collaborative Filtering Algorithm
Discrete Dynamics in Nature and Society, 2022 In recent years, with the development of Big Data and dynamic modeling technology, people have gradually deepened the research on the efficient construction of music audio database.
Jianfei Zheng
doaj +1 more source
Collaborative Filtering via Group-Structured Dictionary Learning [PDF]
, 2011 Structured sparse coding and the related structured dictionary learning problems are novel research areas in machine learning. In this paper we present a new application of structured dictionary learning for collaborative filtering based recommender ...
F. Ricci +4 more
core +6 more sources
Neural Graph Collaborative Filtering
, 2019 Learning vector representations (aka. embeddings) of users and items lies at the core of modern recommender systems. Ranging from early matrix factorization to recently emerged deep learning based methods, existing efforts typically obtain a user's (or ...
Chua, Tat-Seng +4 more
core +1 more source
Information filtering based on transferring similarity [PDF]
, 2009 In this Brief Report, we propose a new index of user similarity, namely the transferring similarity, which involves all high-order similarities between users.
Bing-Hong Wang +6 more
core +2 more sources