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  1. FAccTRec 2024: The 7th Workshop on Responsible Recommendation

    Article • October 2024, ACM (Association for Computing Machinery)

    Toshihiro Kamishima, Karlijn Dinnissen

  2. FAccTRec 2022: The 5th Workshop on Responsible Recommendation

    Article • September 2022, ACM (Association for Computing Machinery)

    Robin Burke, Toshihiro Kamishima

  3. FAccTRec 2021: The 4th Workshop on Responsible Recommendation

    Article • September 2021, ACM (Association for Computing Machinery)

    Toshihiro Kamishima

  4. 3rd FAccTRec Workshop: Responsible Recommendation

    Article • September 2020, ACM (Association for Computing Machinery)

    Toshihiro Kamishima

  5. Multistakeholder recommendation: Survey and research directions

    Article • User Modeling and User-Adapted Interaction, January 2020, Springer Science + Business Media

    Toshihiro Kamishima

  6. 2nd FATREC workshop

    Article • September 2018, ACM (Association for Computing Machinery)

    Toshihiro Kamishima

  7. Model-based and actual independence for fairness-aware classification

    Article • Data Mining and Knowledge Discovery, August 2017, Springer Science + Business Media

    Toshihiro Kamishima

  8. Model-Based Approaches for Independence-Enhanced Recommendation

    Article • December 2016, Institute of Electrical & Electronics Engineers (IEEE)

    Toshihiro Kamishima

  9. Prediction with Model-Based Neutrality

    Article • IEICE Transactions on Information and Systems, January 2015, Institute of Electronics, Information and Communications Engineers (IEICE)

    Toshihiro Kamishima

  10. Crowdordering

    Article • January 2014, Springer Science + Business Media

    Toshihiro Kamishima

  11. The Independence of Fairness-Aware Classifiers

    Article • December 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Toshihiro Kamishima

  12. Absolute and relative clustering

    Article • January 2013, ACM (Association for Computing Machinery)

    Toshihiro Kamishima

  13. Prediction with Model-Based Neutrality

    Article • January 2013, Springer Science + Business Media

    Toshihiro Kamishima

  14. Considerations on Fairness-Aware Data Mining

    Article • December 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Toshihiro Kamishima

  15. Fairness-Aware Classifier with Prejudice Remover Regularizer

    Article • January 2012, Springer Science + Business Media

    Toshihiro Kamishima

  16. Fairness-aware Learning through Regularization Approach

    Article • December 2011, Institute of Electrical & Electronics Engineers (IEEE)

    Toshihiro Kamishima

  17. Personalized pricing recommender system

    Article • January 2011, ACM (Association for Computing Machinery)

    Toshihiro Kamishima

  18. Nantonac collaborative filtering

    Article • January 2010, ACM (Association for Computing Machinery)

    Toshihiro Kamishima

  19. A Survey and Empirical Comparison of Object Ranking Methods

    Article • January 2010, Springer Science + Business Media

    Toshihiro Kamishima

  20. Dimension Reduction for Object Ranking

    Article • January 2010, Springer Science + Business Media

    Toshihiro Kamishima

  21. TrBagg: A Simple Transfer Learning Method and its Application to Personalization in Collaborative Tagging

    Article • December 2009, Institute of Electrical & Electronics Engineers (IEEE)

    Toshihiro Kamishima

  22. Efficient Clustering for Orders

    Article • December 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Toshihiro Kamishima

  23. Dimension Reduction for Supervised Ordering

    Article • December 2006, Institute of Electrical & Electronics Engineers (IEEE)

    Toshihiro Kamishima

  24. Supervised ordering by regression combined with Thurstone’s model

    Article • Artificial Intelligence Review, May 2006, Springer Science + Business Media

    Toshihiro Kamishima

  25. Estimating Attributed Central Orders

    Article • January 2004, Springer Science + Business Media

    Toshihiro Kamishima

  26. Nantonac collaborative filtering

    Article • January 2003, ACM (Association for Computing Machinery)

    Toshihiro Kamishima

  27. Clustering Orders

    Article • January 2003, Springer Science + Business Media

    Toshihiro Kamishima

  28. Article • Machine Learning, January 2003, Springer Science + Business Media

    Toshihiro Kamishima

  29. Learning from order examples

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Toshihiro Kamishima

  30. Filling-in Missing Objects in Orders

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Toshihiro Kamishima

  31. Supervised Ordering — An Empirical Survey

    Article • Institute of Electrical & Electronics Engineers (IEEE)

    Toshihiro Kamishima

  32. Efficient Clustering for Orders

    Article • Springer Science + Business Media

    Toshihiro Kamishima

  33. Considerations on Recommendation Independence for a Find-Good-Items Task

    Article • Boise State University

    Toshihiro Kamishima