Three papers were accepted for Conference on Information and Knowledge Management (CIKM):

Ryoma Sato.
Towards Principled User-side Recommender Systems.
In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM), 2022.
# Demonstrated the theoretical feasibility of a user-side recommendation system and proposed a user-side recommendation algorithm with desirable properties

Ryoma Sato.
CLEAR: A Fully User-side Image Search System.
In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM), 2022.
# A demonstration working in a browser that performs image searches based on a score function set by a user.

Ryoma Sato, Makoto Yamada, Hisashi Kashima.
Twin Papers: A Simple Framework of Causal Inference for Citations via Coupling.
In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM), 2022.
# Proposed a method for analyzing research impact using causal inference based on "twin papers".