|Title||Personalizing text summarization based on sentence weighting|
|Publication Type||Conference Paper|
|Year of Publication||2007|
|Authors||Bouras, C, Poulopoulos, V, Tsogkas, V|
|Conference Name||IADIS European First International Conference Data Mining (ECDM 2007), Lisbon, Portugal|
|Date Published||3 - 8 July|
The amount of data that exists on the Internet is enormous enough to distract users when trying to find useful information. In addition, the expansive use of small screen devices for browsing the World Wide Web generates huge problems when trying to find and read information. A solution to these problems is to personalize the web and try to reduce algorithmically the amount of text. Many text summarizers have been presented in order to reduce the valueless information that is presented to the users and many web sites, especially news portals, introduce personalization features for the users, though, still these techniques are not often used in combination in order to create more effective results. In this paper a mechanism for creating personalized summaries for the members of a news portal that reproduces articles collected from major portals is presented, together with evaluation both of the summarizer and the personalized summaries. The evaluators of the personalized summaries are members of the news portal. The personalized summary mechanism can also be utilized by users of small screen devices, for easier reading of less but inclusive information.