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.
|Title of host publication||17th IEEE International Conference on Computer Supported Cooperative Work in Design (CSCWD 2013)|
|Place of Publication||Canada|
|Number of pages||8|
|Publication status||Published - 11 Jun 2013|
|Event||2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2013 - Whistler, BC, Canada|
Duration: 27 Jun 2013 → 29 Jun 2013
|Conference||2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2013|
|Period||27/06/13 → 29/06/13|
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- Hybrid user profile
- web search personalisation
- Vector Space Model