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

Information, Volume 10, Issue 5

May 2019 - 29 articles

Cover Story: Recommender systems have gained a lot of popularity due to their widespread adoption in various industries, such as entertainment and tourism. Numerous research efforts have focused on formulating and advancing state-of-the-art systems that recommend the right set of items to the right person. However, these recommender systems are hard to compare, because the published evaluation results are computed on diverse datasets and obtained using different methodologies. In this paper, we researched and prototyped an offline evaluation framework called Sequeval that is designed to evaluate recommender systems capable of suggesting sequences of items. Sequeval is publicly available, and it aims to become a focal point for researchers and practitioners when experimenting with sequence-based recommender systems, providing comparable and objective evaluation results. 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 (29)

  • Article
  • Open Access
8 Citations
4,564 Views
19 Pages

In this contribution, a gain adaptation for sliding mode control (SMC) is proposed that uses both linear model predictive control (LMPC) and an estimator-based disturbance compensation. Its application is demonstrated with an electromagnetic actuator...

  • Article
  • Open Access
2 Citations
4,166 Views
23 Pages

Background: We conducted research on the newly developed personalized recommendation service (PRS) of the global network of Korean scientists and engineers (KOSEN) in order to explore the information usage behavior and importance of the PRS used by K...

  • Article
  • Open Access
30 Citations
5,293 Views
17 Pages

An Approach for Recommending Contextualized Services in e-Tourism

  • Mario Casillo,
  • Fabio Clarizia,
  • Francesco Colace,
  • Marco Lombardi,
  • Francesco Pascale and
  • Domenico Santaniello

«You take delight not in a city’s seven or seventy wonders, but in the answer it gives to a question of yours». Those are the words used by Italo Calvino in his book “Invisible Cities” to give us a key aspect of a city,...

  • Article
  • Open Access
3 Citations
5,917 Views
17 Pages

Istex: A Database of Twenty Million Scientific Papers with a Mining Tool Which Uses Named Entities

  • Denis Maurel,
  • Enza Morale,
  • Nicolas Thouvenin,
  • Patrice Ringot and
  • Angel Turri

Istex is a database of twenty million full text scientific papers bought by the French Government for the use of academic libraries. Papers are usually searched for by the title, authors, keywords or possibly the abstract. To authorize new types of q...

  • Article
  • Open Access
15 Citations
5,095 Views
14 Pages

We write the mutual information between an input speech utterance and its reconstruction by a code-excited linear prediction (CELP) codec in terms of the mutual information between the input speech and the contributions due to the short-term predicto...

  • Article
  • Open Access
16 Citations
6,414 Views
20 Pages

In this paper we introduce a novel adaptation algorithm for adaptive filtering of FIR and IIR digital filters within the context of system identification. The standard LMS algorithm is hybridized with GA (Genetic Algorithm) to obtain a new integrated...

  • Article
  • Open Access
5 Citations
6,979 Views
24 Pages

Serious games for health are those that are not aimed solely at entertainment, but rather at supporting health treatments. In this paper, we develop and assess the proposal of a Virtual Reality (VR) game aimed at supporting Sensory Processing Disorde...

  • Article
  • Open Access
8 Citations
7,022 Views
22 Pages

Sequeval: An Offline Evaluation Framework for Sequence-Based Recommender Systems

  • Diego Monti,
  • Enrico Palumbo,
  • Giuseppe Rizzo and
  • Maurizio Morisio

Recommender systems have gained a lot of popularity due to their large adoption in various industries such as entertainment and tourism. Numerous research efforts have focused on formulating and advancing state-of-the-art of systems that recommend th...

  • Article
  • Open Access
19 Citations
4,436 Views
18 Pages

A Computation-Efficient Group Key Distribution Protocol Based on a New Secret Sharing Scheme

  • Runhai Jiao,
  • Hong Ouyang,
  • Yukun Lin,
  • Yaoming Luo,
  • Gang Li,
  • Zaiyu Jiang and
  • Qian Zheng

With the development of 5G and the Internet of Things (IoT), mobile terminals are widely used in various applications under multicast scenarios. However, due to the limited computation resources of mobile terminals, reducing the computation cost of m...

  • Article
  • Open Access
2 Citations
5,136 Views
16 Pages

Ontological Semantic Annotation of an English Corpus Through Condition Random Fields

  • Guidson Coelho de Andrade,
  • Alcione de Paiva Oliveira and
  • Alexandra Moreira

One way to increase the understanding of texts by machines is through adding semantic information to lexical items by including metadata tags, a process also called semantic annotation. There are several semantic aspects that can be added to the word...

of 3

Get Alerted

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

XFacebookLinkedIn
Information - ISSN 2078-2489Creative Common CC BY license