Dynamic modeling by usage data for personalization systems
With the extensive growth of data available on the Internet, personalization of this huge information becomes essential. Although, there are various techniques of personalization, in this paper we concentrate on using data mining algorithms to personalize web sites' usage data. This paper propo...
| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2009
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/11185/1/dynamic_modeling_by_usage_data.pdf |
| _version_ | 1796946195458818048 |
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| author | Aghabozorgi, S.R. Teh, Y.W. |
| author_facet | Aghabozorgi, S.R. Teh, Y.W. |
| author_sort | Aghabozorgi, S.R. |
| collection | UM |
| description | With the extensive growth of data available on the Internet, personalization of this huge information becomes essential. Although, there are various techniques of personalization, in this paper we concentrate on using data mining algorithms to personalize web sites' usage data. This paper proposes an off-line model based web usage mining that is generated by clustering algorithm. Then, we will use users' transactions periodically to change the off-line model to a dynamic-model. This proposed approach will solve the problem of
the decrease of accuracy in the off-line models over time resulted of new users joining or changes of behaviour for existing users in model-based approaches. Finally, we discuss the on-line model for user behaviour prediction in the web personalization system. |
| first_indexed | 2024-03-06T05:28:00Z |
| format | Conference or Workshop Item |
| id | um.eprints-11185 |
| institution | Universiti Malaya |
| language | English |
| last_indexed | 2024-03-06T05:28:00Z |
| publishDate | 2009 |
| record_format | dspace |
| spelling | um.eprints-111852014-12-18T00:41:27Z http://eprints.um.edu.my/11185/ Dynamic modeling by usage data for personalization systems Aghabozorgi, S.R. Teh, Y.W. T Technology (General) With the extensive growth of data available on the Internet, personalization of this huge information becomes essential. Although, there are various techniques of personalization, in this paper we concentrate on using data mining algorithms to personalize web sites' usage data. This paper proposes an off-line model based web usage mining that is generated by clustering algorithm. Then, we will use users' transactions periodically to change the off-line model to a dynamic-model. This proposed approach will solve the problem of the decrease of accuracy in the off-line models over time resulted of new users joining or changes of behaviour for existing users in model-based approaches. Finally, we discuss the on-line model for user behaviour prediction in the web personalization system. 2009-07 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.um.edu.my/11185/1/dynamic_modeling_by_usage_data.pdf Aghabozorgi, S.R. and Teh, Y.W. (2009) Dynamic modeling by usage data for personalization systems. In: 13th International Conference Information Visualisation, 15-17 July 2009, Barcelona, Spain. |
| spellingShingle | T Technology (General) Aghabozorgi, S.R. Teh, Y.W. Dynamic modeling by usage data for personalization systems |
| title | Dynamic modeling by usage data for personalization systems |
| title_full | Dynamic modeling by usage data for personalization systems |
| title_fullStr | Dynamic modeling by usage data for personalization systems |
| title_full_unstemmed | Dynamic modeling by usage data for personalization systems |
| title_short | Dynamic modeling by usage data for personalization systems |
| title_sort | dynamic modeling by usage data for personalization systems |
| topic | T Technology (General) |
| url | http://eprints.um.edu.my/11185/1/dynamic_modeling_by_usage_data.pdf |
| work_keys_str_mv | AT aghabozorgisr dynamicmodelingbyusagedataforpersonalizationsystems AT tehyw dynamicmodelingbyusagedataforpersonalizationsystems |