77 citations
- Cornell UniversityUS3 papers
- Shibuya (Japan)JP2 papers
- Carnegie Mellon UniversityUS1 paper
- Hosei UniversityJP1 paper
- Kyushu UniversityJP1 paper
- Microsoft Research (United Kingdom)GB1 paper
- Microsoft (United States)US1 paper
- The Graduate University for Advanced Studies, SOKENDAIJP1 paper
- The University of OsakaJP1 paper
- The University of TokyoJP1 paper
- Toyohashi University of TechnologyJP1 paper
- University of ManitobaCA1 paper
Showing 2024Show all
3 papers · 1 filter
cs.LG2024★ 4 cited
CXSimulator: A User Behavior Simulation using LLM Embeddings for Web-Marketing Campaign Assessment
Akira Kasuga, Ryo Yonetani
This paper presents the Customer Experience (CX) Simulator, a novel framework designed to assess the effects of untested web-marketing campaigns through user behavior simulations.…
cs.IR2024★ 4 cited
Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems
Riku Togashi, Kenshi Abe, Yuta Saito
Typical recommendation and ranking methods aim to optimize the satisfaction of users, but they are often oblivious to their impact on the items (e.g., products, jobs, news, video)…
stat.ML2024★ 8 cited
Off-Policy Evaluation of Slate Bandit Policies via Optimizing Abstraction
Haruka Kiyohara, Masahiro Nomura, Yuta Saito
We study off-policy evaluation (OPE) in the problem of slate contextual bandits where a policy selects multi-dimensional actions known as slates. This problem is widespread in reco…