Currently displaying 1 – 2 of 2

Showing per page

Order by Relevance | Title | Year of publication

A New overlapping community detection algorithm based on similarity of neighbors in complex networks

Pelin Çetin;  Sahin Emrah Amrahov — 2022

Kybernetika

Community detection algorithms help us improve the management of complex networks and provide a clean sight of them. We can encounter complex networks in various fields such as social media, bioinformatics, recommendation systems, and search engines. As the definition of the community changes based on the problem considered, there is no algorithm that works universally for all kinds of data and network structures. Communities can be disjointed such that each member is in at most one community or...

A new curve fitting based rating prediction algorithm for recommender systems

Yilmaz Ar;  Şahin Emrah Amrahov;  Nizami A. Gasilov;  Sevgi Yigit-Sert — 2022

Kybernetika

The most algorithms for Recommender Systems (RSs) are based on a Collaborative Filtering (CF) approach, in particular on the Probabilistic Matrix Factorization (PMF) method. It is known that the PMF method is quite successful for the rating prediction. In this study, we consider the problem of rating prediction in RSs. We propose a new algorithm which is also in the CF framework; however, it is completely different from the PMF-based algorithms. There are studies in the literature that can increase...

Page 1

Download Results (CSV)