Incremental Collaborative Filtering for Highly-Scalable Recommendation Algorithms

Lecture Notes in Computer Science - Germany
doi 10.1007/11425274_57
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Berlin Heidelberg

Related search

Comparison of Collaborative Filtering Algorithms With Various Similarity Measures for Movie Recommendation

International Journal of Computer Science, Engineering and Applications
2016English

Incremental Learning for Dynamic Collaborative Filtering

Journal of Software
2011English

Incremental Kernel Mapping Algorithms for Scalable Recommender Systems

2011English

Collaborative Filtering Recommendation in the Implication Field

International Journal of Machine Learning and Computing
ManagementComputer Science ApplicationsInformation SystemsArtificial Intelligence
2018English

A Trust-Aware Neural Collaborative Filtering for E-Learning Recommendation

Educational Sciences: Theory & Practice
2018English

Research on Recommendation Technology Based on Collaborative Filtering

2018English

Collaborative Filtering Approaches for Movie Recommendation System Using Probabilistic Relational Model

International Journal of Advance Engineering and Research Development
2015English

Contexts in a Paper Recommendation System With Collaborative Filtering

International Review of Research in Open and Distance Learning
E-learningEducation
2012English

A Collaborative Filtering Recommendation Algorithm Based on Influence Sets

Ruan Jian Xue Bao/Journal of Software
Software
2007English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy