83 citations · 160 across the 26 of their papers we have counts for
Showing 2021 · cs.IRShow all
3 papers · 2 filters
cs.IR2021
Retrieving Black-box Optimal Images from External Databases
Ryoma Sato
Suppose we have a black-box function (e.g., deep neural network) that takes an image as input and outputs a value that indicates preference. How can we retrieve optimal images with…
cs.IR2021★ 1 cited
Enumerating Fair Packages for Group Recommendations
Ryoma Sato
Package-to-group recommender systems recommend a set of unified items to a group of people. Different from conventional settings, it is not easy to measure the utility of group rec…
cs.IR2021
Private Recommender Systems: How Can Users Build Their Own Fair Recommender Systems without Log Data?
Ryoma Sato
Fairness is a crucial property in recommender systems. Although some online services have adopted fairness aware systems recently, many other services have not adopted them yet. In…