You are currently viewing a new version of our website. To view the old version click .

Future Internet, Volume 13, Issue 1

January 2021 - 21 articles

Cover Story: In this study, machine learning and expert knowledge are employed to classify web pages according to the degree of content adjustment to the search engine optimization (SEO) recommendations. The experimental results show that machine learning can be used to predict the degree of adjustment of web pages to the SEO recommendations. The practical significance of the proposed approach is in providing the core for building software agents to automatically detect web pages, or parts of web pages, that need improvement to comply with the SEO guidelines and, therefore, potentially gain higher rankings by search engines. The results of this study enable the determination of optimal values of ranking factors that search engines use to rank web pages. View this paper.
  • Issues are regarded as officially published after their release is announced to the table of contents alert mailing list .
  • You may sign up for email alerts to receive table of contents of newly released issues.
  • PDF is the official format for papers published in both, html and pdf forms. To view the papers in pdf format, click on the "PDF Full-text" link, and use the free Adobe Reader to open them.

Articles (21)

  • Article
  • Open Access
7 Citations
4,463 Views
15 Pages

3 January 2021

Privacy compliance of the Middle East’s financial sector has been relatively unexplored. This paper evaluates the privacy compliance and readability of privacy statements for top banks and mobile money services in the Middle East. Our analysis...

  • Article
  • Open Access
47 Citations
17,017 Views
20 Pages

Using Machine Learning for Web Page Classification in Search Engine Optimization

  • Goran Matošević,
  • Jasminka Dobša and
  • Dunja Mladenić

This paper presents a novel approach of using machine learning algorithms based on experts’ knowledge to classify web pages into three predefined classes according to the degree of content adjustment to the search engine optimization (SEO) reco...

  • Feature Paper
  • Article
  • Open Access
107 Citations
14,521 Views
21 Pages

Commonly Used External TAM Variables in e-Learning, Agriculture and Virtual Reality Applications

  • Ivonne Angelica Castiblanco Jimenez,
  • Laura Cristina Cepeda García,
  • Maria Grazia Violante,
  • Federica Marcolin and
  • Enrico Vezzetti

31 December 2020

In recent years information and communication technologies (ICT) have played a significant role in all aspects of modern society and have impacted socioeconomic development in sectors such as education, administration, business, medical care and agri...

  • Article
  • Open Access
56 Citations
8,914 Views
13 Pages

31 December 2020

Medical image datasets are usually imbalanced due to the high costs of obtaining the data and time-consuming annotations. Training a deep neural network model on such datasets to accurately classify the medical condition does not yield the desired re...

  • Feature Paper
  • Article
  • Open Access
26 Citations
6,456 Views
24 Pages

An Unsupervised Behavioral Modeling and Alerting System Based on Passive Sensing for Elderly Care

  • Rui Hu,
  • Bruno Michel,
  • Dario Russo,
  • Niccolò Mora,
  • Guido Matrella,
  • Paolo Ciampolini,
  • Francesca Cocchi,
  • Enrico Montanari,
  • Stefano Nunziata and
  • Thomas Brunschwiler

30 December 2020

Artificial Intelligence in combination with the Internet of Medical Things enables remote healthcare services through networks of environmental and/or personal sensors. We present a remote healthcare service system which collects real-life data throu...

  • Article
  • Open Access
19 Citations
4,521 Views
23 Pages

SIoT: A New Strategy to Improve the Network Lifetime with an Efficient Search Process

  • Abderrahim Zannou,
  • Abdelhak Boulaalam and
  • El Habib Nfaoui

29 December 2020

The Social Internet of Things (SIoT) means that every node can use a set of nodes that are considered as friends to search for a specific service. However, this is a slow process because each node is required to manage a high number of friends. Thus,...

  • Article
  • Open Access
12 Citations
5,124 Views
24 Pages

29 December 2020

The current approaches for energy consumption optimisation in buildings are mainly reactive or focus on scheduling of daily/weekly operation modes in heating. Machine Learning (ML)-based advanced control methods have been demonstrated to improve ener...

  • Article
  • Open Access
26 Citations
6,468 Views
16 Pages

Authorship Identification of a Russian-Language Text Using Support Vector Machine and Deep Neural Networks

  • Aleksandr Romanov,
  • Anna Kurtukova,
  • Alexander Shelupanov,
  • Anastasia Fedotova and
  • Valery Goncharov

25 December 2020

The article explores approaches to determining the author of a natural language text and the advantages and disadvantages of these approaches. The importance of the considered problem is due to the active digitalization of society and reassignment of...

  • Review
  • Open Access
39 Citations
11,001 Views
38 Pages

Tourist Recommender Systems Based on Emotion Recognition—A Scientometric Review

  • Luz Santamaria-Granados,
  • Juan Francisco Mendoza-Moreno and
  • Gustavo Ramirez-Gonzalez

24 December 2020

Recommendation systems have overcome the overload of irrelevant information by considering users’ preferences and emotional states in the fields of tourism, health, e-commerce, and entertainment. This article reviews the principal recommendatio...

of 3

Get Alerted

Add your email address to receive forthcoming issues of this journal.

XFacebookLinkedIn
Future Internet - ISSN 1999-5903Creative Common CC BY license