A survey of collaborative filtering-based recommender systems for mobile internet applications
With the rapid development and application of the mobile Internet, huge amounts of user
data are generated and collected every day. How to take full advantages of these ubiquitous …
data are generated and collected every day. How to take full advantages of these ubiquitous …
Clustering-and regression-based multi-criteria collaborative filtering with incremental updates
Recommender systems are a valuable means for online users to find items of interest in
situations when there exists a large set of alternatives. Collaborative Filtering (CF) is a …
situations when there exists a large set of alternatives. Collaborative Filtering (CF) is a …
Online learning for collaborative filtering
Collaborative filtering (CF), aiming at predicting users' unknown preferences based on
observational preferences from some users, has become one of the most successful …
observational preferences from some users, has become one of the most successful …
Collaborative filtering: Techniques and applications
N Mustafa, AO Ibrahim, A Ahmed… - … Control, Computing and …, 2017 - ieeexplore.ieee.org
During the last decade a huge amount of data have been shown and introduced in the
Internet. Recommender systems are thus predicting the rating that a user would give to an …
Internet. Recommender systems are thus predicting the rating that a user would give to an …
CCCF: Improving collaborative filtering via scalable user-item co-clustering
Collaborative Filtering (CF) is the most popular method for recommender systems. The
principal idea of CF is that users might be interested in items that are favorited by similar …
principal idea of CF is that users might be interested in items that are favorited by similar …
A survey of collaborative filtering-based recommender systems: From traditional methods to hybrid methods based on social networks
R Chen, Q Hua, YS Chang, B Wang, L Zhang… - IEEE …, 2018 - ieeexplore.ieee.org
In the era of big data, recommender system (RS) has become an effective information
filtering tool that alleviates information overload for Web users. Collaborative filtering (CF) …
filtering tool that alleviates information overload for Web users. Collaborative filtering (CF) …
An efficient hybrid recommendation model based on collaborative filtering recommender systems
MF Aljunid, MD Huchaiah - CAAI Transactions on Intelligence …, 2021 - Wiley Online Library
In recent years, collaborative filtering (CF) techniques have become one of the most
popularly used techniques for providing personalized services to users. CF techniques …
popularly used techniques for providing personalized services to users. CF techniques …
[PDF][PDF] An item-based multi-criteria collaborative filtering algorithm for personalized recommender systems
Q Shambour, S Fraihat - International Journal of Advanced …, 2016 - researchgate.net
Recommender Systems are used to mitigate the information overload problem in different
domains by providing personalized recommendations for particular users based on their …
domains by providing personalized recommendations for particular users based on their …
Unified collaborative filtering model based on combination of latent features
Collaborative filtering (CF) has been studied extensively in the literature and is
demonstrated successfully in many different types of personalized recommender systems. In …
demonstrated successfully in many different types of personalized recommender systems. In …
[PDF][PDF] Role of matrix factorization model in collaborative filtering algorithm: A survey
D kumar Bokde, S Girase… - CoRR, abs …, 2015 - researchgate.net
ABSTRACT Recommendation Systems apply Information Retrieval techniques to select the
online information relevant to a given user. Collaborative Filtering (CF) is currently most …
online information relevant to a given user. Collaborative Filtering (CF) is currently most …