83 citations · 160 across the 26 of their papers we have counts for
5 papers · 1 filter
Towards Principled User-side Recommender Systems
Ryoma Sato
Traditionally, recommendation algorithms have been designed for service developers. However, recently, a new paradigm called user-side recommender systems has been proposed and the…
CLEAR: A Fully User-side Image Search System
Ryoma Sato
We use many search engines on the Internet in our daily lives. However, they are not perfect. Their scoring function may not model our intent or they may accept only text queries e…
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…
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…
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…