6 papers
Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems
Athanasios N. Nikolakopoulos, Xia Ning, Christian Desrosiers +1
Collaborative recommendation approaches based on nearest-neighbors are still highly popular today due to their simplicity, their efficiency, and their ability to produce accurate a…
Projection techniques to update the truncated SVD of evolving matrices
Vassilis Kalantzis, Georgios Kollias, Shashanka Ubaru +3
This paper considers the problem of updating the rank-k truncated Singular Value Decomposition (SVD) of matrices subject to the addition of new rows and/or columns over time. Such…
Random Surfing Revisited: Generalizing PageRank's Teleportation Model
Athanasios N. Nikolakopoulos
We revisit the Random Surfer model, focusing on its--often overlooked--Teleportation component, and we introduce NCDawareRank; a novel ranking framework designed to exploit network…
Boosting Item-based Collaborative Filtering via Nearly Uncoupled Random Walks
Athanasios N. Nikolakopoulos, George Karypis
Item-based models are among the most popular collaborative filtering approaches for building recommender systems. Random walks can provide a powerful tool for harvesting the rich n…
Fast Decentralized Optimization over Networks
Meng Ma, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
The present work introduces the hybrid consensus alternating direction method of multipliers (H-CADMM), a novel framework for optimization over networks which unifies existing dist…
Adaptive Diffusions for Scalable Learning over Graphs
Dimitris Berberidis, Athanasios N. Nikolakopoulos, Georgios B. Giannakis
Diffusion-based classifiers such as those relying on the Personalized PageRank and the Heat kernel, enjoy remarkable classification accuracy at modest computational requirements. T…