55 citations · 55 across the 4 of their papers we have counts for
4 papers
An IPW-based Unbiased Ranking Metric in Two-sided Markets
Keisho Oh, Naoki Nishimura, Minje Sung +2
In modern recommendation systems, unbiased learning-to-rank (LTR) is crucial for prioritizing items from biased implicit user feedback, such as click data. Several techniques, such…
Predicting Online Item-choice Behavior: A Shape-restricted Regression Perspective
Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano +1
This paper examines the relationship between user pageview (PV) histories and their item-choice behavior on an e-commerce website. We focus on PV sequences, which represent time se…
Item Listing Optimization for E-commerce Websites based on Diversity
Naoki Nishimura, Kotaro Tanahashi, Koji Suganuma +2
For e-commerce websites, deciding the manner in which items are listed on webpages is an important issue because it can dramatically affect item sales. One of the simplest strategi…
A Latent-class Model for Estimating Product-choice Probabilities from Clickstream Data
Naoki Nishimura, Noriyoshi Sukegawa, Yuichi Takano +1
This paper analyzes customer product-choice behavior based on the recency and frequency of each customer's page views on e-commerce sites. Recently, we devised an optimization mode…