Search Results for author:
Found 4 papers, 2 papers with code
HypeRS: Building a Hypergraph-driven ensemble Recommender System
In this paper, we propose a novel ensemble recommender system that combines predictions made by different models into a unified hypergraph ranking framework.
An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering
This rating elicitation procedure enriches the interaction matrix with informative ratings and therefore assists the recommender system to better model the preferences of the users.
Diversification in Session-based News Recommender Systems
In news websites most of users are anonymous and the only available data is sequences of items in anonymous sessions.
Fair Multi-Stakeholder News Recommender System with Hypergraph ranking
Recommender systems are typically designed to fulfill end user needs.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
