Hybrid Profiling in Information Retrieval

Mandeep Kaur Pannu; Rachid Anane; Anne James

doi:10.1109/CSCWD.2013.6580944

Hybrid Profiling in Information Retrieval

Mandeep Kaur Pannu, Rachid Anane, Anne James

College of Engineering, Environment & Science

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

6 Citations (Scopus)

60 Downloads (Pure)

Abstract

One of the main challenges in search engine quality of service is how to satisfy the needs and the interests of individualusers. This raises the fundamental issue of how to identify and select the information that is relevant to a specific user. This concern over generic provision and the lack of search precision have provided the impetus for the research into Web Search personalisation. In this paper a hybrid user profiling system is proposed – a combination of explicit and implicit user profiles for improving the web search effectiveness in terms of precision and recall. The proposed system is content-based and implements the Vector Space Model. Experimental results, supported by significance tests, indicate that the system offers better precision and recall in comparison to traditional search engines.

Original language	English
Title of host publication	17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013)
Place of Publication	Canada
Publisher	IEEE
Pages	84-91
Number of pages	8
ISBN (Electronic)	978-1-4673-6085-2
ISBN (Print)	978-1-4673-6084-5
DOIs	https://doi.org/10.1109/CSCWD.2013.6580944
Publication status	Published - 11 Jun 2013
Event	2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design - Whistler, Canada Duration: 27 Jun 2013 → 29 Jun 2013

Conference

Conference	2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design
Abbreviated title	CSCWD 2013
Country/Territory	Canada
City	Whistler
Period	27/06/13 → 29/06/13

Bibliographical note

© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Keywords

Hybrid user profile
explicit
implicit
web search personalisation
Vector Space Model

Access to Document

10.1109/CSCWD.2013.6580944

Post-PrintAccepted author manuscript, 872 KBLicence: Unspecified

Cite this

Pannu, MK, Anane, R & James, A 2013, Hybrid Profiling in Information Retrieval. in 17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013). IEEE, Canada, pp. 84-91, 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design, Whistler, British Columbia, Canada, 27/06/13. https://doi.org/10.1109/CSCWD.2013.6580944

@inproceedings{d207363a88be4fef91adaffa62a6cc45,

title = "Hybrid Profiling in Information Retrieval",

abstract = "One of the main challenges in search engine quality of service is how to satisfy the needs and the interests of individualusers. This raises the fundamental issue of how to identify and select the information that is relevant to a specific user. This concern over generic provision and the lack of search precision have provided the impetus for the research into Web Search personalisation. In this paper a hybrid user profiling system is proposed – a combination of explicit and implicit user profiles for improving the web search effectiveness in terms of precision and recall. The proposed system is content-based and implements the Vector Space Model. Experimental results, supported by significance tests, indicate that the system offers better precision and recall in comparison to traditional search engines. ",

keywords = "Hybrid user profile, explicit, implicit, web search personalisation, Vector Space Model",

author = "Pannu, {Mandeep Kaur} and Rachid Anane and Anne James",

note = "{\textcopyright} 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.; 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2013 ; Conference date: 27-06-2013 Through 29-06-2013",

year = "2013",

month = jun,

day = "11",

doi = "10.1109/CSCWD.2013.6580944",

language = "English",

isbn = "978-1-4673-6084-5",

pages = "84--91",

booktitle = "17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013)",

publisher = "IEEE",

address = "United States",

}

TY - GEN

T1 - Hybrid Profiling in Information Retrieval

AU - Pannu, Mandeep Kaur

AU - Anane, Rachid

AU - James, Anne

N1 - © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2013/6/11

Y1 - 2013/6/11

N2 - One of the main challenges in search engine quality of service is how to satisfy the needs and the interests of individualusers. This raises the fundamental issue of how to identify and select the information that is relevant to a specific user. This concern over generic provision and the lack of search precision have provided the impetus for the research into Web Search personalisation. In this paper a hybrid user profiling system is proposed – a combination of explicit and implicit user profiles for improving the web search effectiveness in terms of precision and recall. The proposed system is content-based and implements the Vector Space Model. Experimental results, supported by significance tests, indicate that the system offers better precision and recall in comparison to traditional search engines.

AB - One of the main challenges in search engine quality of service is how to satisfy the needs and the interests of individualusers. This raises the fundamental issue of how to identify and select the information that is relevant to a specific user. This concern over generic provision and the lack of search precision have provided the impetus for the research into Web Search personalisation. In this paper a hybrid user profiling system is proposed – a combination of explicit and implicit user profiles for improving the web search effectiveness in terms of precision and recall. The proposed system is content-based and implements the Vector Space Model. Experimental results, supported by significance tests, indicate that the system offers better precision and recall in comparison to traditional search engines.

KW - Hybrid user profile

KW - explicit

KW - implicit

KW - web search personalisation

KW - Vector Space Model

U2 - 10.1109/CSCWD.2013.6580944

DO - 10.1109/CSCWD.2013.6580944

M3 - Conference proceeding

SN - 978-1-4673-6084-5

SP - 84

EP - 91

BT - 17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013)

PB - IEEE

CY - Canada

T2 - 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design

Y2 - 27 June 2013 through 29 June 2013

ER -

Hybrid Profiling in Information Retrieval

Abstract

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this