A framework for personalized information retrieval model

Gemechu Fikadu; Yu Zhang; Ting Liu

doi:10.1109/ICCNT.2010.125

A framework for personalized information retrieval model

Gemechu Fikadu^*
, Yu Zhang
, Ting Liu

^*Corresponding author for this work

Faculty of Computing

Harbin Institute of Technology

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

2 Scopus citations

Abstract

Existing search engines ignore the user's search context and return results to the user solely based on their relevance value to the query. Hence, the need for personalized information retrieval system which takes into account the actual user's profile during the retrieval process is "mandatory." In this paper, we propose a framework for personalized information retrieval model using user profiles. It incorporates the user profile module into the retrieval process to filter results returned by traditional search engine so that they meet the specific needs of the user.

Original language	English
Title of host publication	2nd International Conference on Computer and Network Technology, ICCNT 2010
Pages	500-505
Number of pages	6
DOIs	https://doi.org/10.1109/ICCNT.2010.125
State	Published - 2010
Event	2nd International Conference on Computer and Network Technology, ICCNT 2010 - Bangkok, Thailand Duration: 23 Apr 2010 → 25 Apr 2010

Publication series

Name	2nd International Conference on Computer and Network Technology, ICCNT 2010

Conference

Conference	2nd International Conference on Computer and Network Technology, ICCNT 2010
Country/Territory	Thailand
City	Bangkok
Period	23/04/10 → 25/04/10

Keywords

Personalized information retrieval
Search context
User profile

Access to Document

10.1109/ICCNT.2010.125

Cite this

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title = "A framework for personalized information retrieval model",

abstract = "Existing search engines ignore the user's search context and return results to the user solely based on their relevance value to the query. Hence, the need for personalized information retrieval system which takes into account the actual user's profile during the retrieval process is {"}mandatory.{"} In this paper, we propose a framework for personalized information retrieval model using user profiles. It incorporates the user profile module into the retrieval process to filter results returned by traditional search engine so that they meet the specific needs of the user.",

keywords = "Personalized information retrieval, Search context, User profile",

author = "Gemechu Fikadu and Yu Zhang and Ting Liu",

year = "2010",

doi = "10.1109/ICCNT.2010.125",

language = "英语",

isbn = "9780769540429",

series = "2nd International Conference on Computer and Network Technology, ICCNT 2010",

pages = "500--505",

booktitle = "2nd International Conference on Computer and Network Technology, ICCNT 2010",

note = "2nd International Conference on Computer and Network Technology, ICCNT 2010 ; Conference date: 23-04-2010 Through 25-04-2010",

}

Fikadu, G, Zhang, Y & Liu, T 2010, A framework for personalized information retrieval model. in 2nd International Conference on Computer and Network Technology, ICCNT 2010., 5474447, 2nd International Conference on Computer and Network Technology, ICCNT 2010, pp. 500-505, 2nd International Conference on Computer and Network Technology, ICCNT 2010, Bangkok, Thailand, 23/04/10. https://doi.org/10.1109/ICCNT.2010.125

A framework for personalized information retrieval model. / Fikadu, Gemechu; Zhang, Yu; Liu, Ting.
2nd International Conference on Computer and Network Technology, ICCNT 2010. 2010. p. 500-505 5474447 (2nd International Conference on Computer and Network Technology, ICCNT 2010).

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

TY - GEN

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AU - Zhang, Yu

AU - Liu, Ting

PY - 2010

Y1 - 2010

N2 - Existing search engines ignore the user's search context and return results to the user solely based on their relevance value to the query. Hence, the need for personalized information retrieval system which takes into account the actual user's profile during the retrieval process is "mandatory." In this paper, we propose a framework for personalized information retrieval model using user profiles. It incorporates the user profile module into the retrieval process to filter results returned by traditional search engine so that they meet the specific needs of the user.

AB - Existing search engines ignore the user's search context and return results to the user solely based on their relevance value to the query. Hence, the need for personalized information retrieval system which takes into account the actual user's profile during the retrieval process is "mandatory." In this paper, we propose a framework for personalized information retrieval model using user profiles. It incorporates the user profile module into the retrieval process to filter results returned by traditional search engine so that they meet the specific needs of the user.

KW - Personalized information retrieval

KW - Search context

KW - User profile

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U2 - 10.1109/ICCNT.2010.125

DO - 10.1109/ICCNT.2010.125

M3 - 会议稿件

AN - SCOPUS:77954322615

SN - 9780769540429

T3 - 2nd International Conference on Computer and Network Technology, ICCNT 2010

SP - 500

EP - 505

BT - 2nd International Conference on Computer and Network Technology, ICCNT 2010

T2 - 2nd International Conference on Computer and Network Technology, ICCNT 2010

Y2 - 23 April 2010 through 25 April 2010

ER -

A framework for personalized information retrieval model

Abstract

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Keywords

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