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| Daniela Godoy, Analia Amandi, "User Profiling for Web Page Filtering," IEEE Internet Computing, vol. 9, no. 4, pp. 56-64, July/August, 2005. | |||
| BibTex | x | ||
| @article{ 10.1109/MIC.2005.90, author = {Daniela Godoy and Analia Amandi}, title = {User Profiling for Web Page Filtering}, journal ={IEEE Internet Computing}, volume = {9}, number = {4}, issn = {1089-7801}, year = {2005}, pages = {56-64}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2005.90}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Internet Computing TI - User Profiling for Web Page Filtering IS - 4 SN - 1089-7801 SP56 EP64 EPD - 56-64 A1 - Daniela Godoy, A1 - Analia Amandi, PY - 2005 KW - intelligent agents KW - user profiling KW - personalization KW - agents KW - Web page filtering VL - 9 JA - IEEE Internet Computing ER - | |||
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/MIC.2005.90
To help address pressing problems with information overload, researchers have developed personal agents to provide assistance to users in navigating the Web. To provide suggestions, such agents rely on user profiles representing interests and preferences, which makes acquiring and modeling interest categories a critical component in their design. Existing profiling approaches have only partially tackled the characteristics that distinguish user profiling from related tasks. The authors' technique generates readable user profiles that accurately capture interests, starting from observations of user behavior on the Web.
Index Terms:
intelligent agents, user profiling, personalization, agents, Web page filtering
Citation:
Daniela Godoy, Analia Amandi, "User Profiling for Web Page Filtering," IEEE Internet Computing, vol. 9, no. 4, pp. 56-64, July-Aug. 2005, doi:10.1109/MIC.2005.90
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