Optimal Rating Prediction in Recommender Systems

Bilal Ahmed; Li Wang; Waqar Hussain; M. Abdul Qadoos; Tingyi Zheng; Muhammad Amjad; Syed Badar-ud-Duja; Akbar Hussain; Muhammad Salman Raheel

doi:10.1007/978-981-15-2810-1_32

BOOK-CHAPTER

Optimal Rating Prediction in Recommender Systems

Bilal Ahmed Li Wang Waqar Hussain M. Abdul Qadoos Tingyi Zheng Muhammad Amjad Syed Badar-ud-Duja Akbar Hussain Muhammad Salman Raheel

Year: 2020 Communications in computer and information science Pages: 331-339 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-15-2810-1_32

Get Full-Text PDF Get Analytical Report

Keywords:

MovieLens Recommender system Computer science Information overload Preference Field (mathematics) Collaborative filtering Selection (genetic algorithm) Discretization Information retrieval Data mining The Internet Machine learning Artificial intelligence World Wide Web Statistics Mathematics

Metrics

Cited By

1.35

FWCI (Field Weighted Citation Impact)

Refs

0.78

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Recommender Systems and Techniques

Physical Sciences → Computer Science → Information Systems

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Bandit Algorithms Research

Social Sciences → Decision Sciences → Management Science and Operations Research

Optimal Rating Prediction in Recommender Systems

Metrics

Citation History

Topics

Related Documents

Web based Recommender Systems and Rating Prediction

A Stepwise Rating Prediction Method for Recommender Systems

Overlapping Community Regularization for Rating Prediction in Social Recommender Systems

Dynamic item feature modeling for rating prediction in recommender systems

K-core decomposition in recommender systems improves accuracy of rating prediction