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

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

4 Scopus citations

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
Pages	166-171
Number of pages	6
DOIs	https://doi.org/10.1109/CIT.2009.118
State	Published - 2009
Event	IEEE 9th International Conference on Computer and Information Technology, CIT 2009 - Xiamen, China Duration: 11 Oct 2009 → 14 Oct 2009

Publication series

Name	Proceedings - IEEE 9th International Conference on Computer and Information Technology, CIT 2009
Volume	2

Conference

Conference	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 (pp. 166-171). Article 5329125 (Proceedings - IEEE 9th International Conference on Computer and Information Technology, CIT 2009; Vol. 2). https://doi.org/10.1109/CIT.2009.118

Zhang, Tao ; Lee, Byungjeong ; Kang, Sooyong et al. / Collective intelligence-based web page search : Combining folksonomy and link-based ranking strategy. Proceedings - IEEE 9th International Conference on Computer and Information Technology, CIT 2009. 2009. pp. 166-171 (Proceedings - IEEE 9th International Conference on Computer and Information Technology, CIT 2009).

@inproceedings{fc7721a91add4b128ea710310485b29b,

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",

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

pages = "166--171",

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

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., 5329125, Proceedings - IEEE 9th International Conference on Computer and Information Technology, CIT 2009, vol. 2, 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. 2009. p. 166-171 5329125 (Proceedings - IEEE 9th International Conference on Computer and Information Technology, CIT 2009; Vol. 2).

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

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AU - Kim, Jinseog

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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.

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KW - Folksonomy

KW - Link-based web search

KW - Ranking strategy

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M3 - Conference contribution

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T3 - Proceedings - IEEE 9th International Conference on Computer and Information Technology, CIT 2009

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

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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. 2009. p. 166-171. 5329125. (Proceedings - IEEE 9th International Conference on Computer and Information Technology, CIT 2009). doi: 10.1109/CIT.2009.118

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

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