User-Weight Model for Item-Based Recommendation Systems

Journal of Software
doi 10.4304/jsw.7.9.2133-2140
Full Text
Abstract

Available in full text

Date
Authors
Publisher

International Academy Publishing (IAP)

Related search

DSSMFM: Combining User and Item Feature Interactions for Recommendation Systems

MATEC Web of Conferences
Materials ScienceEngineeringChemistry
2020English

Estimating Confidence of Individual User Predictions in Item-Based Recommender Systems

2019English

Trust Based Novel Recommendation Regularized With Item Ratings

International Journal for Research in Applied Science and Engineering Technology
2017English

A User-Based Filtering Recommendation Algorithm for Health Service

2016English

Learning User Dependencies for Recommendation

2017English

A Multi-Armed Bandit Model Selection for Cold-Start User Recommendation

2017English

Incorporating Personalized Contextual Information in Item-Based Collaborative Filtering Recommendation

Journal of Software
2010English

Personalized Recommendation Method Based on User Behavior Analysis

2017English

Improved CF Based Prediction Technique for Recommendation Systems

International Journal of Advanced Technology and Engineering Exploration
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy