Results 31 to 40 of about 208,309 (312)
Cybernetics and Information Technologies, 2023 One of the methods most frequently used to recommend films is collaborative filtering. We examine the potential of collaborative filtering in our paper’s discussion of product suggestions.
Amutha S., Vikram Surya R.
doaj +1 more source
Optimization of English Learning Platform Based on a Collaborative Filtering Algorithm
Complexity, 2021 This paper provides a detailed description of the recommendation system and collaborative filtering algorithm to optimize the English learning platform through the collaborative filtering algorithm and analyses the algorithmic principles and specific ...
Jiali Tang
doaj +1 more source
Rating Proportion-Aware Binomial Matrix Factorization for Collaborative Filtering
IEEE Access, 2023 Addressing biases in observed data is a major challenge in statistical and machine learning applications. This challenge also exists in recommendation systems, and various methods based on causal inference are being investigated.
Iwao Tanuma, Tomoko Matsui
doaj +1 more source
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
Multi-space Interactive Collaborative Filtering Recommendation [PDF]
Jisuanji kexue, 2021 In the era of big data,due to information overload,it is difficult for users to find interesting content from massive data.The birth of personalized recommendation system has greatly solved this problem.Collaborative filtering has been widely used in the
LI Kang-lin, GU Tian-long, BIN Chen-zhong
doaj +1 more source
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
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
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
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