Toshihiro Kamishima

According to our database, Toshihiro Kamishima authored at least 42 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

FAccTRec 2024: The 7th Workshop on Responsible Recommendation.

Michael D. Ekstrand, Toshihiro Kamishima, Amifa Raj, Karlijn Dinnissen

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2023

Re-formalization of Individual Fairness.

Toshihiro Kamishima

CoRR, 2023

2022

FAccTRec 2022: The 5th Workshop on Responsible Recommendation.

Nasim Sonboli, Toshihiro Kamishima, Amifa Raj, Luca Belli, Robin Burke

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

2021

FAccTRec 2021: The 4th Workshop on Responsible Recommendation.

Michael D. Ekstrand, Pierre-Nicolas Schwab, Toshihiro Kamishima, Nasim Sonboli

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Preliminary Experiments to Examine the Stability of Bias-Aware Techniques.

Toshihiro Kamishima, Shotaro Akaho, Yukino Baba, Hisashi Kashima

Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2021

2020

Multistakeholder recommendation: Survey and research directions.

Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Augusto Pizzato

User Model. User Adapt. Interact., 2020

3rd FAccTRec Workshop: Responsible Recommendation.

Michael D. Ekstrand, Pierre-Nicolas Schwab, Jean Garcia-Gathright, Toshihiro Kamishima, Nasim Sonboli

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

2019

FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval.

Alexandra Olteanu, Jean Garcia-Gathright, Maarten de Rijke, Michael D. Ekstrand, Adam Roegiest, Aldo Lipani, Alex Beutel, Ana Lucic, Ana-Andreea Stoica, Anubrata Das, Asia Biega, Bart Voorn, Claudia Hauff, Damiano Spina, David D. Lewis, Douglas W. Oard, Emine Yilmaz, Faegheh Hasibi, Gabriella Kazai, Graham McDonald, Hinda Haned, Iadh Ounis, Ilse van der Linden, Joris Baan, Kamuela N. Lau, Krisztian Balog, Mahmoud F. Sayed, Maria Panteli, Mark Sanderson, Matthew Lease, Preethi Lahoti, Toshihiro Kamishima

SIGIR Forum, 2019

Beyond Personalization: Research Directions in Multistakeholder Recommendation.

Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, Luiz Augusto Pizzato

CoRR, 2019

2018

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

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Data Min. Knowl. Discov., 2018

2nd FATREC workshop: responsible recommendation.

Toshihiro Kamishima, Pierre-Nicolas Schwab, Michael D. Ekstrand

Proceedings of the 12th ACM Conference on Recommender Systems, 2018

Recommendation Independence.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Proceedings of the Conference on Fairness, Accountability and Transparency, 2018

2016

Progressive Comparison for Ranking Estimation.

Ryusuke Takahama, Toshihiro Kamishima, Hisashi Kashima

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Model-Based Approaches for Independence-Enhanced Recommendation.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Issei Sato

Proceedings of the IEEE International Conference on Data Mining Workshops, 2016

2015

Prediction with Model-Based Neutrality.

Kazuto Fukuchi, Toshihiro Kamishima, Jun Sakuma

IEICE Trans. Inf. Syst., 2015

2014

Correcting Popularity Bias by Enhancing Recommendation Neutrality.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Proceedings of the Poster Proceedings of the 8th ACM Conference on Recommender Systems, 2014

Crowdordering.

Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Arresting Treatment Patterns for Individual Patients in Clinical Big Data: An Exploratory Procedure.

Mizuki Morita, Masanori Shiro, Shotaro Akaho, Hideki Asoh, Toshihiro Kamishima, Eiji Aramaki, Kôiti Hasida, Takahide Kohro

Proceedings of the 2014 AAAI Spring Symposia, 2014

2013

Efficiency Improvement of Neutrality-Enhanced Recommendation.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Proceedings of the 3rd Workshop on Human Decision Making in Recommender Systems in conjunction with the 7th ACM Conference on Recommender Systems (RecSys 2013), 2013

Absolute and relative clustering.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the 4th MultiClust Workshop on Multiple Clusterings, 2013

The Independence of Fairness-Aware Classifiers.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Proceedings of the 13th IEEE International Conference on Data Mining Workshops, 2013

Crowdsourcing Quality Control for Item Ordering Tasks.

Toshiko Matsui, Yukino Baba, Toshihiro Kamishima, Hisashi Kashima

Proceedings of the Human Computation and Crowdsourcing: Works in Progress and Demonstration Abstracts, 2013

2012

Enhancement of the Neutrality in Recommendation.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Proceedings of the 2nd Workshop on Human Decision Making in Recommender Systems, 2012

Fairness-Aware Classifier with Prejudice Remover Regularizer.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Considerations on Fairness-Aware Data Mining.

Toshihiro Kamishima, Shotaro Akaho, Hideki Asoh, Jun Sakuma

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

2011

Personalized pricing recommender system: multi-stage epsilon-greedy approach.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the 2nd International Workshop on Information Heterogeneity and Fusion in Recommender Systems, 2011

Fairness-aware Learning through Regularization Approach.

Toshihiro Kamishima, Shotaro Akaho, Jun Sakuma

Proceedings of the Data Mining Workshops (ICDMW), 2011

2010

Nantonac collaborative filtering: a model-based approach.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

A Survey and Empirical Comparison of Object Ranking Methods.

Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho

Proceedings of the Preference Learning., 2010

Dimension Reduction for Object Ranking.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the Preference Learning., 2010

2009

Efficient Clustering for Orders.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the Mining Complex Data, 2009

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

Toshihiro Kamishima, Masahiro Hamasaki, Shotaro Akaho

Proceedings of the ICDM 2009, 2009

2006

Supervised ordering by regression combined with Thurstone's model.

Toshihiro Kamishima, Shotaro Akaho

Artif. Intell. Rev., 2006

Efficient Clustering for Orders.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Dimension Reduction for Supervised Ordering.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

Supervised Ordering - An Empirical Survey.

Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho

Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004

Filling-in Missing Objects in Orders.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

Estimating Attributed Central Orders: An Empirical Comparison.

Toshihiro Kamishima, Hideto Kazawa, Shotaro Akaho

Proceedings of the Machine Learning: ECML 2004, 2004

2003

Learning from Cluster Examples.

Toshihiro Kamishima, Fumio Motoyoshi

Mach. Learn., 2003

Nantonac collaborative filtering: recommendation based on order responses.

Toshihiro Kamishima

Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 24, 2003

Clustering Orders.

Toshihiro Kamishima, Jun Fujiki

Proceedings of the Discovery Science, 6th International Conference, 2003

2002

Learning from Order Examples.

Toshihiro Kamishima, Shotaro Akaho

Proceedings of the 2002 IEEE International Conference on Data Mining (ICDM 2002), 2002