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Article
Peer-Review Record

User Recommendation for Data Sharing in Social Internet of Things

Sensors 2021, 21(2), 462; https://doi.org/10.3390/s21020462
by Kyoungsoo Bok 1, Yeondong Kim 2, Dojin Choi 2 and Jaesoo Yoo 2,*
Reviewer 1: Anonymous
Reviewer 3: Anonymous
Sensors 2021, 21(2), 462; https://doi.org/10.3390/s21020462
Submission received: 11 December 2020 / Revised: 6 January 2021 / Accepted: 6 January 2021 / Published: 11 January 2021
(This article belongs to the Special Issue Innovative Life-Changing Using IoT Sensors)

Round 1

Reviewer 1 Report

Paper deals with important task. It has a logical structure, all necessary sections. 

Suggestions:

    1. Main contribution is weak. Authors should present it in point-by-point scheme (2-3 items) and clearly indicates the novelty of this paper.
    2. Authors should argue their choice on similarity distances used for modeling.
    3. It would be good to see the comparison with other similar schemes.
    4. Authors should add a limitations of the proposed approach in the Conclusion section.

Author Response

Dear Reviewer,

We would like to sincerely thank you for your attentive indications and good comments. Our paper is partially rewritten in order to revise and complement your comments. Please refer to the attached file about the detailed revisions.

 

Many thanks.

Jaesoo Yoo

Author Response File: Author Response.pdf

Reviewer 2 Report

The paper describe  a user recommendation scheme that facilitates data sharing through an analysis of an interaction between an IoT device and a user  on the SIoT

Please review the sintax for the next phrases:

(line 194)

However, the usage  frequency of the IoT device will be low owing to the low usage frequency, as it is used only once per  week. 

Line (197)

The weight of an IoT device is used to identify the distribution of use of the device based on the usage weight of the device. The device preference is used to identify the importance of a certain IoT device based on the weight  of the IoT device by the use.

The authors could you to describe with more detail the social data, because they explaine the general idea related to use a random function for generate the data of 1~30 documents.

For the data exchange between users would be interesting to include in the model the related to permiss for sharing documents and suggest API for access to information from user social networks

Author Response

Dear Reviewer,

We would like to sincerely thank you for your attentive indications and good comments. Our paper is partially rewritten in order to revise and complement your comments. Please refer to the attached file about the detailed revisions.

 

Many thanks.

Jaesoo Yoo

Author Response File: Author Response.pdf

Reviewer 3 Report

This paper aims to propose a scheme to analyse the interaction between users to identify the interest keywords, and the interaction between IoT devices and users to determine the user’s preference of IoT.

The introduction section has provided a decent overview on the challenges supposed to be tackled be the proposed scheme, although it could be introduced in a less complicated way.

In section 2 the related works have been reviewed, however, it misses an appropriate conclusion and point of departure(POD). There are some POD in section 3 which could be move to the end of section 2 as the POD for the reviewed related work.

 

 

 

 

Author Response

Dear Reviewer,

We would like to sincerely thank you for your attentive indications and good comments. Our paper is partially rewritten in order to revise and complement your comments. Please refer to the attached file about the detailed revisions.

 

Many thanks.

Jaesoo Yoo

Author Response File: Author Response.pdf

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