Analyzing the impact of components of yelp. com on recommender system performance: case of Austin

S Lee, H Shin, I Choi, J Kim - IEEE Access, 2022 - ieeexplore.ieee.org
As people's demand for eating out is steadily increasing, the number of restaurants is
continuously increasing, and catering industry platforms such as Yelp, Open Table, and …

A conceptual tool to eliminate filter bubbles in social networks

A Amrollahi - Australasian journal of information systems, 2021 - researchers.mq.edu.au
Reliance on social media as a source of information has lead to several challenges,
including the limitation of sources to viewers' preferences and desires, also known as filter …

[PDF][PDF] How to burst the bubble in social networks

A Amrollahi, N McBride - the 24th UK Academy for Information …, 2019 - researchgate.net
Filter bubble has considered as a serious risk for democracy and freedom of information on
the internet and social media. This phenomenon can restrict users' access to information …

Burst the filter bubble: Towards an integrated tool

A Amrollahi - 2019 - aisel.aisnet.org
Formation of filter bubbles is known as a risk for democracy and can bring negative
consequences like polarisation of the society, users' tendency to extremist viewpoints, and …

[PDF][PDF] TopC-CAMF: A Top Context Based Matrix Factorization Recommender System

R Lumbantoruan, P Simanjuntak… - Jurnal Nasional Teknik …, 2022 - academia.edu
Online activities have been more and more vital as the digital business has expanded.
Users can conduct most activities online such as online shops, hotel bookings, or online …

How to Burst the Bubble in Social Networks?

N McBride, A Amrollahi - 2019 - aisel.aisnet.org
Filter bubble has considered as a serious risk for democracy and freedom of information on
the internet and social media. This phenomenon can restrict users' access to information …