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A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems

  • Published:2021-12 Issue: Volume:184 Page:115485
  • ISSN:0957-4174
  • Container-title:Expert Systems with Applications
  • language:en
  • Short-container-title:Expert Systems with Applications

Author:

Joorabloo Nima,Jalili Mahdi,Ren Yongli

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference71 articles.

1. Diversifying search results;Agrawal,2009

2. Excuseme: Asking users to help in item cold-start recommendations;Aharon,2015

3. A trust-aware recommendation method based on Pareto dominance and confidence concepts;Azadjalal;Knowledge-Based Systems,2017

4. Submodular secretary problem and extensions;Bateni;ACM Transactions on Algorithms (TALG),2013

5. Recommender systems survey;Bobadilla;Knowledge-Based Systems,2013

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Use of recommendation models to provide support to dyslexic students;Expert Systems with Applications;2024-09

2. A fairness-aware graph contrastive learning recommender framework for social tagging systems;Information Sciences;2023-09

3. Individual Diversity Preference Aware Neural Collaborative Filtering;Knowledge-Based Systems;2022-12

4. DeepDive: Deep Latent Factor Model for Enhancing Diversity in Recommender Systems;2022 IEEE International Conference on Data Mining Workshops (ICDMW);2022-11

5. GroupRec: Group Recommendation by Numerical Characteristics of Groups in Telegram;2021 11th International Conference on Computer Engineering and Knowledge (ICCKE);2021-10-28
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