Hybrid Profiling in Information Retrieval

Mandeep Kaur Pannu, Rachid Anane, Anne James

Research output: Chapter in Book/Report/Conference proceedingConference proceedingpeer-review

6 Citations (Scopus)
13 Downloads (Pure)


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 languageEnglish
Title of host publication17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013)
Place of PublicationCanada
Number of pages8
ISBN (Electronic)978-1-4673-6085-2
ISBN (Print)978-1-4673-6084-5
Publication statusPublished - 11 Jun 2013
Event2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2013 - Whistler, BC, Canada
Duration: 27 Jun 201329 Jun 2013


Conference2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2013
CityWhistler, BC

Bibliographical note

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  • Hybrid user profile
  • explicit
  • implicit
  • web search personalisation
  • Vector Space Model


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