4.6 Article

Research on diversity and accuracy of the recommendation system based on multi-objective optimization

Related references

Note: Only part of the references are listed.
Article Computer Science, Artificial Intelligence

Enhancing recommendation stability of collaborative filtering recommender system through bio-inspired clustering ensemble method

R. Logesh et al.

NEURAL COMPUTING & APPLICATIONS (2020)

Article Computer Science, Information Systems

A two-step personalized location recommendation based on multi-objective immune algorithm

Bingrui Geng et al.

INFORMATION SCIENCES (2019)

Article Physics, Applied

Large nonlinear Hall effect in (FeCo)0.67Ge0.33/Ge heterojunctions

Juan Pei et al.

INTERNATIONAL JOURNAL OF MODERN PHYSICS B (2019)

Proceedings Paper Computer Science, Artificial Intelligence

A Pareto-Efficient Algorithm for Multiple Objective Optimization in E-Commerce Recommendation

Xiao Lin et al.

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (2019)

Proceedings Paper Computer Science, Artificial Intelligence

Recommending What Video to Watch Next: A Multitask Ranking System

Zhe Zhao et al.

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (2019)

Article Computer Science, Information Systems

GeoMF plus plus : Scalable Location Recommendation via Joint Geographical Modeling and Matrix Factorization

Defu Lian et al.

ACM TRANSACTIONS ON INFORMATION SYSTEMS (2018)

Article Computer Science, Artificial Intelligence

A learning framework for temporal recommendation without explicit iterative optimization

Zhen Liu et al.

APPLIED SOFT COMPUTING (2018)

Article Computer Science, Artificial Intelligence

DRED: An evolutionary diversity generation method for concept drift adaptation in online learning environments

Jesus L. Lobo et al.

APPLIED SOFT COMPUTING (2018)

Article Computer Science, Information Systems

Improving Existing Collaborative Filtering Recommendations via Serendipity-Based Algorithm

Yongjian Yang et al.

IEEE TRANSACTIONS ON MULTIMEDIA (2018)

Article Computer Science, Artificial Intelligence

A Parallel Multiclassification Algorithm for Big Data Using an Extreme Learning Machine

Mingxing Duan et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts

Jiaqi Ma et al.

KDD'18: PROCEEDINGS OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING (2018)

Article Computer Science, Artificial Intelligence

Cold-Start Recommendation with Provable Guarantees: A Decoupled Approach

Iman Barjasteh et al.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2016)

Proceedings Paper Computer Science, Information Systems

Improving Diversity of User-Based Two-Step Recommendation Algorithm with Popularity Normalization

Xiangyu Zhao et al.

DATABASE SYSTEMS FOR ADVANCED APPLICATIONS, DASFAA 2016 (2016)

Article Physics, Multidisciplinary

NNIA-RS: A multi-objective optimization based recommender system

Bingrui Geng et al.

PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2015)

Article Computer Science, Artificial Intelligence

A probabilistic model to resolve diversity-accuracy challenge of recommendation systems

Amin Javari et al.

KNOWLEDGE AND INFORMATION SYSTEMS (2015)