X2-Search

Contextual expert search in social networks

Cheng-Te Li, Man Kwan Shan

Research output: Contribution to conferencePaper

3 Citations (Scopus)

Abstract

Searching experts in online social networking services, such as Linked In, is an important and practical problem which has been studied recently. While existing works rely on simply social structure or only personal skills to locate experts, the contextual knowledge, derived from combining skills with social connections, is missed. For example, one may wish to find experts who master at financial and are well-connected with engineers in the Bay Area. By leveraging the social contexts as the search clues, this work proposes and develops a Contextual Expert Search (X2-Search) system to discover desired experts and teams. X2-Search provides two major functions, Specialist Finding and Team Formation. Given a set of target and context labels of skills, our system aims to return a ranked list of individuals or teams satisfying the query requirement. Experiments conducted on DBLP bibliography data show the promising effectiveness and efficiency of X2-Search. In the application practice, X2-Search system is built on Linked In, and can be extended to the social and expertise data in other domains.

Original languageEnglish
Pages176-181
Number of pages6
DOIs
Publication statusPublished - 2013 Jan 1
Event2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013 - Taipei, Taiwan
Duration: 2013 Dec 62013 Dec 8

Other

Other2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013
CountryTaiwan
CityTaipei
Period13-12-0613-12-08

Fingerprint

Bibliographies
Labels
Engineers
Experiments

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence

Cite this

Li, C-T., & Shan, M. K. (2013). X2-Search: Contextual expert search in social networks. 176-181. Paper presented at 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan. https://doi.org/10.1109/TAAI.2013.44
Li, Cheng-Te ; Shan, Man Kwan. / X2-Search : Contextual expert search in social networks. Paper presented at 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan.6 p.
@conference{0bac99abd32c431bbb43edf4b1efd119,
title = "X2-Search: Contextual expert search in social networks",
abstract = "Searching experts in online social networking services, such as Linked In, is an important and practical problem which has been studied recently. While existing works rely on simply social structure or only personal skills to locate experts, the contextual knowledge, derived from combining skills with social connections, is missed. For example, one may wish to find experts who master at financial and are well-connected with engineers in the Bay Area. By leveraging the social contexts as the search clues, this work proposes and develops a Contextual Expert Search (X2-Search) system to discover desired experts and teams. X2-Search provides two major functions, Specialist Finding and Team Formation. Given a set of target and context labels of skills, our system aims to return a ranked list of individuals or teams satisfying the query requirement. Experiments conducted on DBLP bibliography data show the promising effectiveness and efficiency of X2-Search. In the application practice, X2-Search system is built on Linked In, and can be extended to the social and expertise data in other domains.",
author = "Cheng-Te Li and Shan, {Man Kwan}",
year = "2013",
month = "1",
day = "1",
doi = "10.1109/TAAI.2013.44",
language = "English",
pages = "176--181",
note = "2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013 ; Conference date: 06-12-2013 Through 08-12-2013",

}

Li, C-T & Shan, MK 2013, 'X2-Search: Contextual expert search in social networks' Paper presented at 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan, 13-12-06 - 13-12-08, pp. 176-181. https://doi.org/10.1109/TAAI.2013.44

X2-Search : Contextual expert search in social networks. / Li, Cheng-Te; Shan, Man Kwan.

2013. 176-181 Paper presented at 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan.

Research output: Contribution to conferencePaper

TY - CONF

T1 - X2-Search

T2 - Contextual expert search in social networks

AU - Li, Cheng-Te

AU - Shan, Man Kwan

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Searching experts in online social networking services, such as Linked In, is an important and practical problem which has been studied recently. While existing works rely on simply social structure or only personal skills to locate experts, the contextual knowledge, derived from combining skills with social connections, is missed. For example, one may wish to find experts who master at financial and are well-connected with engineers in the Bay Area. By leveraging the social contexts as the search clues, this work proposes and develops a Contextual Expert Search (X2-Search) system to discover desired experts and teams. X2-Search provides two major functions, Specialist Finding and Team Formation. Given a set of target and context labels of skills, our system aims to return a ranked list of individuals or teams satisfying the query requirement. Experiments conducted on DBLP bibliography data show the promising effectiveness and efficiency of X2-Search. In the application practice, X2-Search system is built on Linked In, and can be extended to the social and expertise data in other domains.

AB - Searching experts in online social networking services, such as Linked In, is an important and practical problem which has been studied recently. While existing works rely on simply social structure or only personal skills to locate experts, the contextual knowledge, derived from combining skills with social connections, is missed. For example, one may wish to find experts who master at financial and are well-connected with engineers in the Bay Area. By leveraging the social contexts as the search clues, this work proposes and develops a Contextual Expert Search (X2-Search) system to discover desired experts and teams. X2-Search provides two major functions, Specialist Finding and Team Formation. Given a set of target and context labels of skills, our system aims to return a ranked list of individuals or teams satisfying the query requirement. Experiments conducted on DBLP bibliography data show the promising effectiveness and efficiency of X2-Search. In the application practice, X2-Search system is built on Linked In, and can be extended to the social and expertise data in other domains.

UR - http://www.scopus.com/inward/record.url?scp=84899408931&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84899408931&partnerID=8YFLogxK

U2 - 10.1109/TAAI.2013.44

DO - 10.1109/TAAI.2013.44

M3 - Paper

SP - 176

EP - 181

ER -

Li C-T, Shan MK. X2-Search: Contextual expert search in social networks. 2013. Paper presented at 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013, Taipei, Taiwan. https://doi.org/10.1109/TAAI.2013.44