4.6 Article

A Technique of Recursive Reliability-Based Missing Data Imputation for Collaborative Filtering

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Artificial Intelligence

Personalized location recommendation by fusing sentimental and spatial context

Guoshuai Zhao et al.

KNOWLEDGE-BASED SYSTEMS (2020)

Article Chemistry, Multidisciplinary

Cognitive Similarity-Based Collaborative Filtering Recommendation System

Luong Vuong Nguyen et al.

APPLIED SCIENCES-BASEL (2020)

Article Computer Science, Information Systems

Rule-Based Effective Collaborative Recommendation Using Unfavorable Preference

G. Suganeshwari et al.

IEEE ACCESS (2020)

Article Computer Science, Hardware & Architecture

Efficient User Profiling Based Intelligent Travel Recommender System for Individual and Group of Users

R. Logesh et al.

MOBILE NETWORKS & APPLICATIONS (2019)

Review Computer Science, Information Systems

Exploring Users' Internal Influence from Reviews for Social Recommendation

Guoshuai Zhao et al.

IEEE TRANSACTIONS ON MULTIMEDIA (2019)

Article Computer Science, Information Systems

A novel approach based on multi-view reliability measures to alleviate data sparsity in recommender systems

Sajad Ahmadian et al.

MULTIMEDIA TOOLS AND APPLICATIONS (2019)

Article Computer Science, Interdisciplinary Applications

Moreopt: A goal programming based movie recommender system

Emrah Inan et al.

JOURNAL OF COMPUTATIONAL SCIENCE (2018)

Proceedings Paper Engineering, Civil

Analysis of the Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE) in Assessing Rounding Model

Weijie Wang et al.

2017 5TH INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING, MATERIALS SCIENCE AND CIVIL ENGINEERING (2018)

Article Computer Science, Information Systems

The maximum imputation framework for neighborhood-based collaborative filtering

Yongli Ren et al.

SOCIAL NETWORK ANALYSIS AND MINING (2014)

Article Automation & Control Systems

Lazy Collaborative Filtering for Data Sets With Missing Values

Yongli Ren et al.

IEEE TRANSACTIONS ON CYBERNETICS (2013)

Article Computer Science, Information Systems

A collaborative filtering framework for friends recommendation in social networks based on interaction intensity and adaptive user similarity

Vinti Agarwal et al.

SOCIAL NETWORK ANALYSIS AND MINING (2013)

Article Computer Science, Artificial Intelligence

A collaborative filtering framework based on both local user similarity and global user similarity

Heng Luo et al.

MACHINE LEARNING (2008)

Review Computer Science, Artificial Intelligence

Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions

G Adomavicius et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2005)

Article Computer Science, Information Systems

An empirical analysis of design choices in neighborhood-based collaborative filtering algorithms

J Herlocker et al.

INFORMATION RETRIEVAL (2002)

Article Computer Science, Hardware & Architecture

Web-collaborative filtering: recommending music by crawling the Web

WW Cohen et al.

COMPUTER NETWORKS-THE INTERNATIONAL JOURNAL OF COMPUTER AND TELECOMMUNICATIONS NETWORKING (2000)