Hayato Yamana

Improving Recommendation Diversity Across Users by Reducing Frequently Recommended Items

2018

Recommender systems have been used for analyzing users' preference through their past activities and recommend items in which they might be interested in. There are numerous research on improving the accuracy of recommendation being conducted, …

Time Distribution Based Diversified Point of Interest Recommendation

2020

In location-based social networks (LBSNs), personalized point-of-interest (POI) recommendation helps users mine their interests and find new locations conveniently and quickly. It is one of the most important services to improve users' quality of life …

Point of Interest Recommendation Acceleration Using Clustering

2021

Point of Interest (POI) recommendation systems exploit information in location-based social networks to predict locations that users may be interested in. POI recommendations have been widely adopted in many applications, which are helpful for daily …