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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
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Articles (29)

  • Article
  • Open Access
16 Citations
5,377 Views
17 Pages

Link Prediction Based on Deep Convolutional Neural Network

  • Wentao Wang,
  • Lintao Wu,
  • Ye Huang,
  • Hao Wang and
  • Rongbo Zhu

In recent years, endless link prediction algorithms based on network representation learning have emerged. Network representation learning mainly constructs feature vectors by capturing the neighborhood structure information of network nodes for link...

  • Article
  • Open Access
3 Citations
5,059 Views
14 Pages

Interactivity in Cybermedia News: An Interview with Journalists in Colombia, Peru, and Ecuador

  • Daniel Barredo Ibáñez,
  • Karen Tatiana Pinto Garzón,
  • Úrsula Freundt-Thurne and
  • Narcisa Medranda Morales

Interactivity is a factor on which cyber journalism is based and summarizes participation options between a user and the medium, a user with other users, and a user with editors. In this study, we focus on the latter in three countries—Colombia, Peru...

  • Article
  • Open Access
4 Citations
4,434 Views
14 Pages

Aimed at the problem of how to objectively obtain the threshold of a user’s cognitive load in a virtual reality interactive system, a method for user cognitive load quantification based on an eye movement experiment is proposed. Eye movement da...

  • Article
  • Open Access
7 Citations
4,640 Views
14 Pages

An Improved Jacobi-Based Detector for Massive MIMO Systems

  • Xiaoqing Zhao,
  • Zhengquan Li,
  • Song Xing,
  • Yang Liu,
  • Qiong Wu and
  • Baolong Li

Massive multiple-input-multiple-output (MIMO) is one of the key technologies in the fifth generation (5G) cellular communication systems. For uplink massive MIMO systems, the typical linear detection such as minimum mean square error (MMSE) presents...

  • Article
  • Open Access
4 Citations
6,797 Views
17 Pages

Researchers have proposed many multidimensional frameworks to identify significant and potential factors, e.g., educational background, positive feelings and career aspirations, that impact English learning attitude in second language acquisition. Ye...

  • Article
  • Open Access
16 Citations
4,603 Views
13 Pages

Based on the grey prediction model GM(1,1), a novel fractional-order grey prediction model is proposed and its modeling error is systematically studied. In this paper, exponential data sequences are generated for numerical simulation. Via the numeric...

  • Article
  • Open Access
6 Citations
3,288 Views
13 Pages

A linguistic cubic hesitant variable (LCHV) is a hybrid form of linguistic values in group decision-making environments. It is composed of an interval language variable and multiple single-valued language variables given by different decision-makers...

  • Article
  • Open Access
16 Citations
4,507 Views
18 Pages

Improving reliability is one of the major concerns of scientific workflow scheduling in clouds. The ever-growing computational complexity and data size of workflows present challenges to fault-tolerant workflow scheduling. Therefore, it is essential...

  • Article
  • Open Access
2 Citations
3,844 Views
15 Pages

A Complexity Reduction Scheme for Depth Coding in 3D-HEVC

  • Qiuwen Zhang,
  • Yihan Wang,
  • Tao Wei,
  • Bin Jiang and
  • Yong Gan

3D-high efficiency video coding (3D-HEVC) is the next-generation compression standard for multiview system applications, which has recently been approved by MPEG and VCEG as an extension of HEVC. To improve the compression efficiency of depth map, se...

  • Article
  • Open Access
23 Citations
5,252 Views
14 Pages

The main objective of this study is to explore the spatiotemporal activities pattern of bicycle sharing system by combining together temporal and spatial attributes variables through clustering analysis method. Specifically, three clustering algorith...

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Information - ISSN 2078-2489Creative Common CC BY license