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 …
A multi-attribute personalized recommendation method for manufacturing service composition with combining collaborative filtering and genetic algorithm
With the popularity of service-oriented manufacturing mode, the customer quantities of the
online manufacturing service platforms are growing exponentially. To improve the user …
online manufacturing service platforms are growing exponentially. To improve the user …
FG-CF: Friends-aware graph collaborative filtering for POI recommendation
Collaborative filtering approach greatly promotes the development and application of
personalized recommendation. In location-based social networks (LBSNs), the sparsity of …
personalized recommendation. In location-based social networks (LBSNs), the sparsity of …
Movie recommendation system using machine learning
F Furtado, A Singh - International journal of research in industrial …, 2020 - riejournal.com
Nowadays, the recommendation system has made finding the things easy that we need.
Movie recommendation systems aim at hel** movie enthusiasts by suggesting what movie …
Movie recommendation systems aim at hel** movie enthusiasts by suggesting what movie …
Movie recommender system using item based collaborative filtering technique
LT Ponnam, SD Punyasamudram… - … on Emerging Trends …, 2016 - ieeexplore.ieee.org
Recommender systems being a part of information filtering system are used to forecast the
bias or ratings the user tend to give for an item. Among different kinds of recommendation …
bias or ratings the user tend to give for an item. Among different kinds of recommendation …
Personalized QoE improvement for networking video service
Y Gao, X Wei, L Zhou - IEEE Journal on Selected Areas in …, 2020 - ieeexplore.ieee.org
Personalized networking video service, as an inevitable trend recently, has become the core
part for users' quality of experience (QoE) improvement. Unfortunately, existing schemes of …
part for users' quality of experience (QoE) improvement. Unfortunately, existing schemes of …
Product recommendation system for E-commerce using collaborative filtering and textual clustering
H Khatter, S Arif, U Singh, S Mathur… - 2021 Third International …, 2021 - ieeexplore.ieee.org
In the past decade internet usage has seen an exponential growth. This growth has given
opportunity for other businesses which rely on it to grow and prosper too. One such avenue …
opportunity for other businesses which rely on it to grow and prosper too. One such avenue …
Improving sparsity and new user problems in collaborative filtering by clustering the personality factors
In collaborative filtering recommender systems, items recommended to an active user are
selected based on the interests of users similar to him/her. Collaborative filtering systems …
selected based on the interests of users similar to him/her. Collaborative filtering systems …
Movie recommender systems: Concepts, methods, challenges, and future directions
Movie recommender systems are meant to give suggestions to the users based on the
features they love the most. A highly performing movie recommendation will suggest movies …
features they love the most. A highly performing movie recommendation will suggest movies …
An improved collaborative filtering recommendation algorithm for big data
With the increase of volume, velocity, and variety of big data, the traditional collaborative
filtering recommendation algorithm, which recommends the items based on the ratings from …
filtering recommendation algorithm, which recommends the items based on the ratings from …