Research on dynamic discovery model of user interest based on time and space vector

Jinxiu Lin; Zhaoxin Zhang; Lejun Chi; Yang Wang

doi:10.1007/978-981-13-2206-8_7

Research on dynamic discovery model of user interest based on time and space vector

Jinxiu Lin
, Zhaoxin Zhang
, Lejun Chi^*
, Yang Wang

^*Corresponding author for this work

School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

It is difficult for forum administrators to grasp the timeliness and accuracy of forum hotspot distribution and changes, which is detrimental to the management of forum hotspot trends, and the timeliness and accuracy of user groups with the same concerns, which is not conducive to the forum user’s mutual communication. Therefore, a dynamic interest discovery model based on space-time vector is proposed. In this paper, based on the traditional vector space model (VSM), the TF-IDF algorithm is used to calculate the keyword weights of user interests and construct the user interest vector matrix. The dynamic discovery of the user’s focus through two dimensions of time and space, improving the timeliness and accuracy of the administrator’s grasp of the forum hotspots, and quickly and accurately finding the user groups with the same focus, is conducive to the realization of knowledge sharing. The case study shows that the dynamic discovery model of user interest based on space-time vectors can effectively find out the dynamic changes of the attention points of users and users that meet the concerns.

Original language	English
Title of host publication	Data Science - 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Proceedings
Editors	Qinglei Zhou, Hongzhi Wang, Wei Xie, Zeguang Lu, Qiguang Miao, Yan Wang
Publisher	Springer Verlag
Pages	69-80
Number of pages	12
ISBN (Print)	9789811322051
DOIs	https://doi.org/10.1007/978-981-13-2206-8_7
State	Published - 2018
Externally published	Yes
Event	4th International Conference of Pioneer Computer Scientists, Engineers and Educators, ICPCSEE 2018 - Zhengzhou, China Duration: 21 Sep 2018 → 23 Sep 2018

Publication series

Name	Communications in Computer and Information Science
Volume	902
ISSN (Print)	1865-0929

Conference

Conference	4th International Conference of Pioneer Computer Scientists, Engineers and Educators, ICPCSEE 2018
Country/Territory	China
City	Zhengzhou
Period	21/09/18 → 23/09/18

Keywords

Time and space vector
User interest model
VSM

Access to Document

10.1007/978-981-13-2206-8_7

Cite this

Lin, J., Zhang, Z., Chi, L., & Wang, Y. (2018). Research on dynamic discovery model of user interest based on time and space vector. In Q. Zhou, H. Wang, W. Xie, Z. Lu, Q. Miao, & Y. Wang (Eds.), Data Science - 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Proceedings (pp. 69-80). (Communications in Computer and Information Science; Vol. 902). Springer Verlag. https://doi.org/10.1007/978-981-13-2206-8_7

Lin, Jinxiu ; Zhang, Zhaoxin ; Chi, Lejun et al. / Research on dynamic discovery model of user interest based on time and space vector. Data Science - 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Proceedings. editor / Qinglei Zhou ; Hongzhi Wang ; Wei Xie ; Zeguang Lu ; Qiguang Miao ; Yan Wang. Springer Verlag, 2018. pp. 69-80 (Communications in Computer and Information Science).

@inproceedings{4833a7144d2a43a2b990e3cbea8d81c7,

title = "Research on dynamic discovery model of user interest based on time and space vector",

abstract = "It is difficult for forum administrators to grasp the timeliness and accuracy of forum hotspot distribution and changes, which is detrimental to the management of forum hotspot trends, and the timeliness and accuracy of user groups with the same concerns, which is not conducive to the forum user{\textquoteright}s mutual communication. Therefore, a dynamic interest discovery model based on space-time vector is proposed. In this paper, based on the traditional vector space model (VSM), the TF-IDF algorithm is used to calculate the keyword weights of user interests and construct the user interest vector matrix. The dynamic discovery of the user{\textquoteright}s focus through two dimensions of time and space, improving the timeliness and accuracy of the administrator{\textquoteright}s grasp of the forum hotspots, and quickly and accurately finding the user groups with the same focus, is conducive to the realization of knowledge sharing. The case study shows that the dynamic discovery model of user interest based on space-time vectors can effectively find out the dynamic changes of the attention points of users and users that meet the concerns.",

keywords = "Time and space vector, User interest model, VSM",

author = "Jinxiu Lin and Zhaoxin Zhang and Lejun Chi and Yang Wang",

note = "Publisher Copyright: {\textcopyright} Springer Nature Singapore Pte Ltd. 2018.; 4th International Conference of Pioneer Computer Scientists, Engineers and Educators, ICPCSEE 2018 ; Conference date: 21-09-2018 Through 23-09-2018",

year = "2018",

doi = "10.1007/978-981-13-2206-8\_7",

language = "英语",

isbn = "9789811322051",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "69--80",

editor = "Qinglei Zhou and Hongzhi Wang and Wei Xie and Zeguang Lu and Qiguang Miao and Yan Wang",

booktitle = "Data Science - 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Proceedings",

address = "德国",

}

Lin, J, Zhang, Z, Chi, L & Wang, Y 2018, Research on dynamic discovery model of user interest based on time and space vector. in Q Zhou, H Wang, W Xie, Z Lu, Q Miao & Y Wang (eds), Data Science - 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Proceedings. Communications in Computer and Information Science, vol. 902, Springer Verlag, pp. 69-80, 4th International Conference of Pioneer Computer Scientists, Engineers and Educators, ICPCSEE 2018, Zhengzhou, China, 21/09/18. https://doi.org/10.1007/978-981-13-2206-8_7

Research on dynamic discovery model of user interest based on time and space vector. / Lin, Jinxiu; Zhang, Zhaoxin; Chi, Lejun et al.
Data Science - 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Proceedings. ed. / Qinglei Zhou; Hongzhi Wang; Wei Xie; Zeguang Lu; Qiguang Miao; Yan Wang. Springer Verlag, 2018. p. 69-80 (Communications in Computer and Information Science; Vol. 902).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Research on dynamic discovery model of user interest based on time and space vector

AU - Lin, Jinxiu

AU - Zhang, Zhaoxin

AU - Chi, Lejun

AU - Wang, Yang

N1 - Publisher Copyright: © Springer Nature Singapore Pte Ltd. 2018.

PY - 2018

Y1 - 2018

N2 - It is difficult for forum administrators to grasp the timeliness and accuracy of forum hotspot distribution and changes, which is detrimental to the management of forum hotspot trends, and the timeliness and accuracy of user groups with the same concerns, which is not conducive to the forum user’s mutual communication. Therefore, a dynamic interest discovery model based on space-time vector is proposed. In this paper, based on the traditional vector space model (VSM), the TF-IDF algorithm is used to calculate the keyword weights of user interests and construct the user interest vector matrix. The dynamic discovery of the user’s focus through two dimensions of time and space, improving the timeliness and accuracy of the administrator’s grasp of the forum hotspots, and quickly and accurately finding the user groups with the same focus, is conducive to the realization of knowledge sharing. The case study shows that the dynamic discovery model of user interest based on space-time vectors can effectively find out the dynamic changes of the attention points of users and users that meet the concerns.

AB - It is difficult for forum administrators to grasp the timeliness and accuracy of forum hotspot distribution and changes, which is detrimental to the management of forum hotspot trends, and the timeliness and accuracy of user groups with the same concerns, which is not conducive to the forum user’s mutual communication. Therefore, a dynamic interest discovery model based on space-time vector is proposed. In this paper, based on the traditional vector space model (VSM), the TF-IDF algorithm is used to calculate the keyword weights of user interests and construct the user interest vector matrix. The dynamic discovery of the user’s focus through two dimensions of time and space, improving the timeliness and accuracy of the administrator’s grasp of the forum hotspots, and quickly and accurately finding the user groups with the same focus, is conducive to the realization of knowledge sharing. The case study shows that the dynamic discovery model of user interest based on space-time vectors can effectively find out the dynamic changes of the attention points of users and users that meet the concerns.

KW - Time and space vector

KW - User interest model

KW - VSM

UR - https://www.scopus.com/pages/publications/85053994991

U2 - 10.1007/978-981-13-2206-8_7

DO - 10.1007/978-981-13-2206-8_7

M3 - 会议稿件

AN - SCOPUS:85053994991

SN - 9789811322051

T3 - Communications in Computer and Information Science

SP - 69

EP - 80

BT - Data Science - 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Proceedings

A2 - Zhou, Qinglei

A2 - Wang, Hongzhi

A2 - Xie, Wei

A2 - Lu, Zeguang

A2 - Miao, Qiguang

A2 - Wang, Yan

PB - Springer Verlag

T2 - 4th International Conference of Pioneer Computer Scientists, Engineers and Educators, ICPCSEE 2018

Y2 - 21 September 2018 through 23 September 2018

ER -

Lin J, Zhang Z, Chi L, Wang Y. Research on dynamic discovery model of user interest based on time and space vector. In Zhou Q, Wang H, Xie W, Lu Z, Miao Q, Wang Y, editors, Data Science - 4th International Conference of Pioneering Computer Scientists, Engineers and Educators, ICPCSEE 2018, Proceedings. Springer Verlag. 2018. p. 69-80. (Communications in Computer and Information Science). doi: 10.1007/978-981-13-2206-8_7

Research on dynamic discovery model of user interest based on time and space vector

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