Collective intelligence-based web page search: Combining folksonomy and link-based ranking strategy

Tao Zhang; Byungjeong Lee; Sooyong Kang; Hanjoon Kim; Jinseog Kim

doi:10.1109/CIT.2009.118

Collective intelligence-based web page search: Combining folksonomy and link-based ranking strategy

Tao Zhang^*, Byungjeong Lee, Sooyong Kang, Hanjoon Kim, Jinseog Kim

^*Corresponding author for this work

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

4 Citations (Scopus)

Abstract

With the exponentially growing amount of information available on the Internet, retrieving web pages of interest has become increasingly difficult. While several web page recommender systems have been developed, it is still difficult to search related information which reflects users' preference. In this paper, we propose a new type of web page search which is based on the collective intelligence. It combines folksonomy and link-based ranking evaluation scheme so as to accommodate users' preferences. We implemented the prototype system and demonstrate the feasibility of the proposed web page search scheme.

Original language	English
Title of host publication	Proceedings - IEEE 9th International Conference on Computer and Information Technology, CIT 2009
Place of Publication	Piscataway, NJ
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	166-171
Number of pages	6
Volume	2
ISBN (Print)	9780769538365
DOIs	https://doi.org/10.1109/CIT.2009.118
Publication status	Published - 2009
Externally published	Yes
Event	IEEE 9th International Conference on Computer and Information Technology, CIT 2009 - Xiamen, China Duration: 11 Oct 2009 → 14 Oct 2009

Other

Other	IEEE 9th International Conference on Computer and Information Technology, CIT 2009
Country/Territory	China
City	Xiamen
Period	11/10/09 → 14/10/09

Keywords

Collective intelligence
Folksonomy
Link-based web search
Ranking strategy

Access to Document

10.1109/CIT.2009.118

Cite this

Zhang, T., Lee, B., Kang, S., Kim, H., & Kim, J. (2009). Collective intelligence-based web page search: Combining folksonomy and link-based ranking strategy. In Proceedings - IEEE 9th International Conference on Computer and Information Technology, CIT 2009 (Vol. 2, pp. 166-171). Article 5329125 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/CIT.2009.118

@inproceedings{0928ac69aabd4239935045bdd6352ae9,

title = "Collective intelligence-based web page search: Combining folksonomy and link-based ranking strategy",

abstract = "With the exponentially growing amount of information available on the Internet, retrieving web pages of interest has become increasingly difficult. While several web page recommender systems have been developed, it is still difficult to search related information which reflects users' preference. In this paper, we propose a new type of web page search which is based on the collective intelligence. It combines folksonomy and link-based ranking evaluation scheme so as to accommodate users' preferences. We implemented the prototype system and demonstrate the feasibility of the proposed web page search scheme.",

keywords = "Collective intelligence, Folksonomy, Link-based web search, Ranking strategy",

author = "Tao Zhang and Byungjeong Lee and Sooyong Kang and Hanjoon Kim and Jinseog Kim",

year = "2009",

doi = "10.1109/CIT.2009.118",

language = "English",

isbn = "9780769538365",

volume = "2",

pages = "166--171",

booktitle = "Proceedings - IEEE 9th International Conference on Computer and Information Technology, CIT 2009",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "IEEE 9th International Conference on Computer and Information Technology, CIT 2009 ; Conference date: 11-10-2009 Through 14-10-2009",

}

Zhang, T, Lee, B, Kang, S, Kim, H & Kim, J 2009, Collective intelligence-based web page search: Combining folksonomy and link-based ranking strategy. in Proceedings - IEEE 9th International Conference on Computer and Information Technology, CIT 2009. vol. 2, 5329125, Institute of Electrical and Electronics Engineers (IEEE), Piscataway, NJ, pp. 166-171, IEEE 9th International Conference on Computer and Information Technology, CIT 2009, Xiamen, China, 11/10/09. https://doi.org/10.1109/CIT.2009.118

Collective intelligence-based web page search: Combining folksonomy and link-based ranking strategy. / Zhang, Tao; Lee, Byungjeong; Kang, Sooyong et al.
Proceedings - IEEE 9th International Conference on Computer and Information Technology, CIT 2009. Vol. 2 Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2009. p. 166-171 5329125.

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

TY - GEN

T1 - Collective intelligence-based web page search

T2 - IEEE 9th International Conference on Computer and Information Technology, CIT 2009

AU - Zhang, Tao

AU - Lee, Byungjeong

AU - Kang, Sooyong

AU - Kim, Hanjoon

AU - Kim, Jinseog

PY - 2009

Y1 - 2009

N2 - With the exponentially growing amount of information available on the Internet, retrieving web pages of interest has become increasingly difficult. While several web page recommender systems have been developed, it is still difficult to search related information which reflects users' preference. In this paper, we propose a new type of web page search which is based on the collective intelligence. It combines folksonomy and link-based ranking evaluation scheme so as to accommodate users' preferences. We implemented the prototype system and demonstrate the feasibility of the proposed web page search scheme.

AB - With the exponentially growing amount of information available on the Internet, retrieving web pages of interest has become increasingly difficult. While several web page recommender systems have been developed, it is still difficult to search related information which reflects users' preference. In this paper, we propose a new type of web page search which is based on the collective intelligence. It combines folksonomy and link-based ranking evaluation scheme so as to accommodate users' preferences. We implemented the prototype system and demonstrate the feasibility of the proposed web page search scheme.

KW - Collective intelligence

KW - Folksonomy

KW - Link-based web search

KW - Ranking strategy

UR - http://www.scopus.com/inward/record.url?scp=73549120637&partnerID=8YFLogxK

U2 - 10.1109/CIT.2009.118

DO - 10.1109/CIT.2009.118

M3 - Conference proceeding contribution

AN - SCOPUS:73549120637

SN - 9780769538365

VL - 2

SP - 166

EP - 171

BT - Proceedings - IEEE 9th International Conference on Computer and Information Technology, CIT 2009

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

Y2 - 11 October 2009 through 14 October 2009

ER -

Zhang T, Lee B, Kang S, Kim H, Kim J. Collective intelligence-based web page search: Combining folksonomy and link-based ranking strategy. In Proceedings - IEEE 9th International Conference on Computer and Information Technology, CIT 2009. Vol. 2. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). 2009. p. 166-171. 5329125 doi: 10.1109/CIT.2009.118

Collective intelligence-based web page search: Combining folksonomy and link-based ranking strategy

Abstract

Other

Keywords

Access to Document

Other files and links

Fingerprint

Cite this